Decode a QR Code using Python
Decoding a QR code means finding the value, number, text or link behind the QR code. There are many ways to decode a QR code used by your smartphone cameras, which helps you scan a QR code while making online…
Category Machine Learning
Time Series Analysis using Python
Time series analysis means analyzing and finding patterns in a time series dataset. A time-series dataset is a sequence of data collected over an interval of time. Stock price data, monthly sales data, daily rainfall data, hourly website traffic data…
How to Prepare for a Data Science Interview
If you’ve never worked as a data science professional before, you must be wondering how to prepare for your first data science interview. So if you’ve learned data science, worked on projects, and think you’re ready for your first data…
Python Project Ideas
Python is one of the most popular programming languages today. In 2022, Python will be used more in the industry with programming languages like Golang and JavaScript. If you are looking for a job as a Python developer, the first…
Process of Natural Language Processing
Natural Language Processing (NLP) is a subset of machine learning in which we aim to train computers to understand human languages. The chatbot you see in a banking app, Siri on iPhone, or Google translator are examples of natural language…
Time Series Graph using Python
A time-series graph is a line plot that displays trends or patterns over a dataset collected over an interval of time. For example, when you visualize a line plot of the daily sales made by a business, you are visualizing…
QR Code using Python
A QR Code is a scannable code used to store information. QR codes are used to redirect you to a specific page or to show you some information. You must have scanned QR codes once in your life when making…
Classification with Neural Networks using Python
In machine learning, classification means categorizing the known classes, For example, categorizing the most profitable and non-interested customers from a dataset for advertising a particular product. You must have trained a classification model with a machine learning algorithm before. Here…
Best Approaches for Time Series Analysis
Time series analysis is one of the most important topics in data science. Time series data is a sequence of data points collected and indexed based on an interval of time, and when we analyze such data to find patterns…
Best Books to Learn Neural Networks
A neural network is a computational architecture that connects an input layer to the output layer. Learning about Neural Networks will not only help you in solving complex Deep Learning problems but will also help you do better in an…
How Neural Network Works
A neural network is a computational structure that connects an input layer to an output layer. This computational structure is used in training deep learning models that can easily outperform any classical machine learning algorithm. As a data science beginner,…
All Data Visualizations in Data Science using Python
Visualizing data is one of the most valuable skills every Data Scientist and Analyst should have. There are a lot of data visualizations to learn in data science. So if you are a beginner in data science and want to…
Sentence and Word Tokenization using Python
Tokenization is the first step you should perform after collecting a textual dataset in every problem based on Natural Language Processing. Sentence and Word tokenization are two different strategies of tokenization that you should know. In this article, I will…
Stock Price Prediction with LSTM
LSTM stands for Long Short Term Memory Networks. It is a type of recurrent neural network that is commonly used for regression and time series forecasting in machine learning. It can memorize data for long periods, which differentiates LSTM neural…
Programming Languages used by Facebook
Facebook is one of the most popular social media platforms that owns other popular social media platforms like Instagram and WhatsApp. Facebook is one of those companies where every software engineer and data scientist wants to work. If you want…
Deep Learning Project Ideas
Deep Learning is a subset of machine learning that mimics the human brain to solve complex problems. Deep Learning is used to train computers to perform tasks where humans are good at, but computers are not. If you are learning…
Best Resources to Learn Deep Learning
Deep Learning is a subset of machine learning where we need a large amount of data to train powerful models capable of finding relationships in data to solve complex problems. While machine learning algorithms can also be used to train…
Visualize a Machine Learning Algorithm using Python
A machine learning algorithm is used to find relationships between features and labels. Features are the independent variables that we feed into an algorithm to train a machine learning model, and labels are the dependent variables that we aim to…
Query Data using Python
Query data means requesting specific data from a dataset. If you are familiar with SQL, you must know what it means to query data, but if you use the pandas library in Python, you can still query data from your…
Cryptocurrency Price Prediction with Machine Learning
You must have heard or invested in any cryptocurrency once in your life. It is a digital medium of exchange that is encrypted and decentralized. Many people use cryptocurrencies as a form of investing because it gives great returns even…
Programming Languages used by Google
You must have heard that JavaScript is currently the most popular programming language, and Python is one of the popular languages among Data Scientists. Just like that, every programming language is being used in the industry somewhere it is best.…
Time Series Analysis Project Ideas
In Data Science, Time Series data is a sequence of data points collected and indexed according to time. When we analyze such kinds of data to find patterns over an interval of time, it is known as Time Series Analysis.…
Activation Functions in Neural Networks
The activation function is a function used in neural networks to calculate the weighted sum of inputs and biases, which is used to determine whether a neuron should be activated or not. You must have heard a lot about activation…
Box Plot using Python
A box plot is a statistical data visualization technique for analyzing the distribution and patterns of numerical data points of a dataset. It represents quartile 1, quartile 3, median, maximum and minimum data points of a feature which helps to…
Get Stock Price Data using Python
As machine learning practitioners, we need to collect stock price data for regression analysis and time series analysis. We can easily download it from Yahoo Finance. But imagine if we want to create an application where we can analyze the…
Stress Detection with Machine Learning
Stress, anxiety, and depression are threatening the mental health of people. Every person has a reason for having a stressful life. People often share their feelings on social media platforms like on Instagram in the form of posts and stories,…
Data Analysis Projects
Data Analysis is the process of working with data to gather useful insights that can be used for decision making and solving various business problems. Most of the success stories you hear about companies today are because they have a…
Best Books to Learn Time Series Analysis
In Data Science, Time Series Analysis is a method of analyzing data collected over an interval of time. Stock price data and covid-19 cases data are examples of time-series data. Time Series Analysis helps understand the underlying causes of trends…
Important Python Libraries for Data Science
There are so many Python libraries for data science out there today that you will get the simplest alternative of almost any library. As a data scientist, you need to keep improving your skills, so you need to keep learning…
Candlestick Chart using Python
A candlestick chart is a data visualization tool used to analyze the price movements of stocks, cryptocurrencies, currencies, and other financial instruments. If you work as a data scientist/analyst in the finance domain, a candlestick chart is one of the…
Count Length of a String using Python
Finding the length of a string means counting the number of letters in a string. Python has a built-in len() function for this task, but what if you get a coding interview question to find the length of a string…
AlexNet Architecture using Python
AlexNet is a popular convolutional neural network architecture that won the ImageNet 2012 challenge by a large margin. It was developed by Alex Krizhevsky, Ilya Sutskever and Geoffery Hinton. It is similar to the LeNet-5 architecture but larger and deeper.…
Data Science Project Ideas on Healthcare
The role of a Data Scientist, in general, is to convert raw data into actionable insights by understanding the purpose of a business. Just like that, a data scientist working in healthcare is supposed to solve problems with data generated…
Best Books to Learn Python
Python is one of the most popular programming languages today. As it is an open-source programming language, so many contributors contribute to Python to allow it for endless possibilities. This is what makes Python useful for web development, Database access,…
Visualize Better Graphs with Matplotlib in Python
Matplotlib is a data visualization library in Python that is primarily the very first data visualization library that any newbie to data science learns. One of the advantages of matplotlib is that it is used in the industry by data…
How to Analyze a Candlestick Chart
A candlestick chart is a data visualization tool used to analyze the price movements of stock prices, currencies, and other financial instruments. It is often used in stock price analysis by stock traders and financial analysts. Many financial analysts and even data science beginners…
Detect Questions using Python
Detecting questions means identifying whether a sentence is interrogative or not. We can also use machine learning to detect questions, but since we all know the type of sentences we see in an interrogative sentence, it is also possible to…
Omicron Sentiment Analysis using Python
A few days ago, the WHO designated a new variant of the coronavirus, B.1.1.529, as a variant of concern which has been named Omicron. Right after that, we saw an outbreak of tweets about the Omicron variant on Twitter. So,…
Machine Learning Projects on Multiclass Classification
In machine learning, multiclass classification is the problem of classifying between more than two classes. It is also known as multinomial classification. Simply put, when the target column in your dataset contains more than two classes, then you are working…
Best Data Science Books for Finance
Financial analysis is one of the important tasks for every business. The use of data science in finance helps solve many business problems involving stock markets, risk analysis, hypothesis testing, fraud detection, risk management, credit allocation and algorithmic trading. If…
How to Analyze Correlation in Data Science
Correlation is one of the most important statistical terms used in data science. It is used to measure the intensity of relationships between variables. If you know how to calculate correlation in data science but don’t know to analyze it,…
Useful Python Scripts
There are some pieces of scripts or code that we generally use in the middle of several tasks daily. For example, whenever I work on a sentiment analysis task, I always use one common script to clean the text column…
How to Give Inputs to a Machine Learning Model
One of the mistakes data science newbies make while working on a machine learning project is that they train a machine learning model, check its accuracy score, and then complete the project. They do not test the performance of the…
Best Laptops for Data Science Students
If you are new to data science or planning to start learning data science, you should know that you need to have a laptop that meets all the minimum requirements for data science tasks. As a data science student, you…
Data Science Books for Marketing Analysis
Marketing analysis is the process of identifying your potential customers and their buying and spending habits. It helps identify the perfect group of potential customers to market for a particular product or service. The use of data science in marketing…
Free GPU for Machine Learning
A data scientist or machine learning engineer often needs the power of GPU to perform powerful calculations using deep neural network architectures. As a data science professional, you will have access to powerful laptops by your company itself, but as…
Add Labels to a Dataset for Sentiment Analysis
A data scientist has to spend a lot of time preparing a dataset for any data science task because the data we get has a lot of errors, and sometimes it is not labeled. Adding labels to a dataset is…
Drop Rows and Columns of a Pandas DataFrame in Python
Dropping rows and columns from a dataset helps in preparing the data so that we can filter the data for better understanding. When we are working on a data science task, we store the data in a Pandas DataFrame, and…
Product Demand Prediction with Machine Learning
You must have studied that the demand for a product varies with the change in its price. If you take real-world examples, you will see if the product is not a necessity, then its demand decreases with the increase in…
Recommendation System Project Ideas
A recommendation system is a data science application used by almost every platform today to recommend content to its users. Having recommendation system projects on your resume will help you get shortlisted in your preferred data science role. So if…
Best Books to Learn Data Visualization
Data visualization isn’t just about graphing your data, it means finding the story behind the numbers to discover the relationships between the features of a dataset. Data visualization is one of the most important skills any data scientist should have,…
Machine Learning Glossary
A glossary is a list of words with their meanings about a specific subject or topic. When learning machine learning, you go through a lot of terms that are not easy to remember, but if you have a machine learning…
Best Approaches for Sentiment Analysis
Sentiment analysis is the task of natural language processing where we detect a positive or negative sentiment from a piece of text. Sentiment analysis is used by companies to analyze the opinions of customers about their products or services so…
Index of Maximum Value in a Python List
Finding the index of the maximum value in a list or an array is one of the most common coding interview questions you can get in any coding interview. Here you have to find the index of the maximum value…
Electricity Price Prediction with Machine Learning
The price of electricity depends on many factors. Predicting the price of electricity helps many businesses understand how much electricity they have to pay each year. The Electricity Price Prediction task is based on a case study where you need…
Tools I use Daily as a Data Scientist
There are so many tools that a data scientist has to use daily, and each tool has several alternatives. Just like a programming language, you can choose any tool that you find easy to use, if you are productive for…
Binary Classification Algorithms in Machine Learning
Binary classification is one of the types of classification problems in machine learning where we have to classify between two mutually exclusive classes. For example, classifying messages as spam or not spam, classifying news as Fake or Real. There are…
Word Cloud from a Pandas DataFrame in Python
A word cloud is a data visualization technique that shows the most used words in large font and the least used words in small font. It helps to get an idea about your text data, especially when working on problems…
Article Recommendation System with Machine Learning
A recommendation system is one of the applications of data science that is used by almost any application or website today. Many websites today use a recommendation system to recommend articles to their readers. For example, Medium.com and even the website…
Best Books to Learn Data Analysis
Data analysis is the process of inspecting and exploring data generated by a particular population to find the information needed to make decisions and draw conclusions. With the use of data in decision making, most businesses today need data analysts.…
Multiclass Classification Algorithms in Machine Learning
When there are only two classes in a classification problem, this is the problem of binary classification, just like that, classification with more than two classes is called multiclass classification. If you want to know the best algorithms for multiclass…
Send Instagram Messages using Python
By using a third-party application or API to manage the functionality of an application, you are automating the application. If you send messages, post photos or videos, or follow someone without opening your Instagram directly, that means you are automating…
Squid Game Sentiment Analysis using Python
The squid game is currently one of the most trending shows on Netflix. It is so much trending that people who have never watched any web series before are also watching it. One of the reasons behind this is the…
Best Resources to Learn Python
Python is one of the most popular programming languages today. It is preferred by data scientists and web developers and is currently used by companies like Google, Netflix, Facebook, Uber, Goldman Sachs, PayPal, and many more. There is a great…
Best Python Frameworks to Build APIs
API stands for Application Programming Interface, it is a way to connect computers or computer programs. Simply put, you can think of it as software that helps in the development of other software. Many companies are looking for API developers…
Voice Recorder using Python
A voice recorder is found in every smartphone and computer today. It is an application that is used to record sound and save it in a specific file format, which can be listened to and transferred to another device. If…
Language Detection with Machine Learning
Language detection is a natural language processing task where we need to identify the language of a text or document. Using machine learning for language identification was a difficult task a few years ago because there was not a lot…
Best Books to Learn Computer Vision
Computer Vision is one of the fields of Artificial Intelligence that enables a computer to find meaningful information from digital images, videos and other visual sources of data. The Face ID found in iPhones is one of the best examples…
Multilayer Perceptron in Machine Learning
A Multilayer Perceptron or MLP is one of the simplest feed-forward neural networks. Multilayer Perceptrons are the types of neural networks which are bidirectional as they foreword propagation of the inputs and backward propagation of the weights. If you want…
For Loop Over Keys and Values in a Python Dictionary
Dictionaries are one of the most useful data structures in the Python programming language. A Python dictionary is used to store data in the form of key and value pairs. Most Python newbies get confused when iterating through a dictionary…
Health Insurance Premium Prediction with Machine Learning
Health Insurance is a type of insurance that covers medical expenses. A person who has taken a health insurance policy gets health insurance cover by paying a particular premium amount. There are a lot of factors that determine the premium…
Best Books to Learn NLP
Natural language processing or NLP is a subfield of artificial intelligence where we build applications to interact with humans. One of the examples of NLP applications is a chatbot which is used by so many websites to solve some of…
Clustering Algorithms in Machine Learning
Clustering is the task of identifying similar instances based on similar features and assigning them to clusters based on similar instances. It sounds like classification where each instance is also assigned to a group, but unlike classification, clustering is based…
Animated Scatter Plot using Python
A scatter plot is one of the most useful ways to analyze the relationship between two features. You must have used a scatter plot before if you are learning data science but have you ever tried to create an animated…
Tata Motors Stock Price Prediction with Machine Learning
Recently, we have seen an increase of more than 10 per cent in the stock price of Tata Motors. This has resulted in more attention to Tata Group stocks from all over India. But again today, we are witnessing a…
Best Books to Learn Deep Learning
Deep learning is a subset of machine learning in which we use artificial neural networks to train models to solve complex problems where we need a large amount of data compared to other machine learning algorithms. If you want to…
Use Cases of Different Machine Learning Algorithms
There are so many algorithms in machine learning that you need to learn. Understanding the use cases of every machine learning algorithm is very difficult for every data science beginner, but it is very important as it helps you to…
Swap Items of a Python List
Swapping elements of a Python list is very similar to swapping values of the variables in Python. We use the index of the items to swap the position of the items, just like variables in Python. So if you want…
Iris Flower Classification with Machine Learning
Iris Flower Classification is one of the most popular case studies among the data science community. Almost every data science newbie has solved this case study once in their life. Here, you are given the measurements associated with each species…
Best Books to Learn Machine Learning Algorithms
Machine learning algorithms are a series of steps used to find the relationship between labels and features of a dataset. Machine learning algorithms play an important role in building applications and models based on machine learning. There are so many…
Recommendation Systems in Data Science
Almost every app or website you visit today shows you what may interest you the most. For example, if you’ve been using YouTube for a long time, you must have seen content from your favourite creators or the type of…
Backward For Loop using Python
Using a for loop on any Python object is very easy as compared to other programming languages like C++ and Java. But have you ever tried using a for loop backwards? It’s as easy as a general for loop that…
Pfizer Vaccine Sentiment Analysis using Python
Twitter is one of the most popular social media apps where people are free to share their opinions on any topic. There are so many tweets recorded about Pfizer vaccine awareness that can be used to analyze the sentiments of…
Best Books for Data Structures and Algorithms
Learning data structures and algorithms is the most important task for every computer science student. It helps you better understand computer science concepts and also helps you to perform well in any coding interview. So if you want to follow…
LeNet-5 Architecture using Python
The LeNet-5 architecture is the most widely used architecture of convolutional neural networks. It was created by Yann LeCunn in 1998. If you have never used the LeNet-5 architecture of convolutional neural networks, then this article is for you. In…
Index of Minimum Value in a Python List
Finding the index of the minimum value in a list or an array is one of the popular coding interview questions that you may get in any coding interview. Here you have to find the index of the minimum value…
News Classification with Machine Learning
You must have seen the news divided into categories when you go to a news website. Some of the popular categories that you’ll see on almost any news website are tech, entertainment, and sports. If you want to know how…
Best Kaggle Datasets to Practice Data Science
Kaggle is a subsidiary of Google LLC. It is an online community of data science and machine learning practitioners. As it allows the users to find and publish datasets, so today, it has more than 50,000 public datasets that you can…
FLAML Tutorial in Python
FLAML is an automatic machine learning library created by Microsoft for fast and lightweight automatic machine learning. It stands for Fast and Lightweight AutoML. If you have never used any AutoML library in Python for machine learning, then this article…
Python Data Structures
Python data structures are nothing but a type of collection that allows to organize and manipulate several data values at once. If you are new to the Python programming language and want to know about the inbuilt data structures in…
Comparison of Classification Algorithms in Machine Learning
There are many real-life use cases to create your unique machine learning projects. If you’re still struggling to work on an actual use case, find something practical and unique, like a machine learning project where you’ll show a comparison of…
Best Data Science Cheat Sheets
A cheat sheet is like a set of notes for a quick reference. If you are a beginner in data science, you can have a data science cheat sheet with you while solving problems. There are many data science cheat…
Mean Shift Clustering in Machine Learning
The mean shift algorithm is a nonparametric clustering algorithm that does not require prior knowledge of the number of clusters. If you’ve never used the Mean Shift algorithm, this article is for you. In this article, I’ll take you through…
Map Function in Python
The map() function in Python is one of the examples of functional programming in Python. It is used to apply a specific function or method to each element of an iterable. If you’ve never used the map function in Python, this article…
Number of Orders Prediction with Machine Learning
Predicting the number of orders for a product is one of the strategies a business can follow in determining how much to invest in marketing their product. So, predicting the number of orders is an important data science use case…
GitHub Repositories to Learn Data Science
A GitHub repository is a directory of all your projects with their revision history. It is used to manage your projects or show your projects as a portfolio. Generally, you will see people uploading their projects on a GitHub repository,…
Pandas Profiling in Python
Pandas Profiling is an amazing open-source Python library that is used for a quick exploratory data analysis of your data in a few lines of code. Exploratory data analysis is a very important step in data science tasks, and this…
LCM using Python
LCM stands for Least Common Multiple, which means finding the smallest number that is a multiple of two or more numbers. If you want to learn how to find the LCM of two numbers using the Python programming language, then…
Movie Rating Analysis using Python
We all watch movies for entertainment, some of us never rate it, while some viewers always rate every movie they watch. This type of viewer helps in rating movies for people who go through the movie reviews before watching any…
All Data Science Libraries
If you are learning Python for data science, you should know that there are many Python frameworks that you should learn for data science. From reading a CSV file, or image dataset, to training your machine learning model, or a…
Process of a Machine Learning Project
If you find it difficult to work on machine learning projects as a beginner, it will be good for you to break the entire process of a machine learning project into small steps. This will help you focus on all…
Important Pandas Functions for Data Science
Pandas is a very fast and efficient DataFrame object for working with data. It provides highly efficient functions, ranging from reading and writing data to manipulate and preparing data for any kind of data science task. Although you need to…
Price Elasticity of Demand using Python
Price is one of the most important factors influencing the demand for a product. Elasticity refers to the degree of response, and the price elasticity of demand refers to the degree of responsiveness of demand for a product due to…
Twitter Sentiment Analysis using Python
Twitter is one of those social media platforms where people are free to share their opinions on any topic. Sometimes we see a strong discussion on Twitter about someone’s opinion that sometimes results in a collection of negative tweets. With…
Coding Projects for Resume
There are so many business problems where a company needs good coders to solve their problems with their coding skills. To identify whether someone is a good coder or not, your projects are the only work that can show your…
Mini-batch K-means Clustering in Machine Learning
The Mini-batch K-means clustering algorithm is a version of the standard K-means algorithm in machine learning. It uses small, random, fixed-size batches of data to store in memory, and then with each iteration, a random sample of the data is…
Age Calculator using Python
Age Calculator is an amazing coding project idea for beginners. If you are new to any programming language, you should try making an age calculator. It is an application where a user enters his date of birth as an input,…
Apple Stock Price Prediction with Machine Learning
Apple has just announced the date of its September event when it is about to launch the new iPhone 13. It is currently the center of attention on the stock market. Stock market analysis is one of the popular applications…
Best Python Libraries for Computer Vision
Computer vision is one of the fields of artificial intelligence. The way machine learning is used to make systems smart enough to solve business problems by finding meaningful relationships from data, similarly, computer vision is used to make systems smart…
Part of Speech Tagging in Machine Learning
In machine learning, Part of Speech Tagging or POS Tagging is a concept of natural language processing where we assign a tag to each word in a text, based on the context of the text. It helps in understanding the…
Range Function in Python
The range function in Python is a general function that can be used in a variety of ways. It is used with for loops to generate indexes, but you can use this function anywhere you need integers in a particular…
Insurance Prediction with Machine Learning
Insurance is a contract whereby an individual obtains financial protection against losses from an insurance company against the risks of financial losses as mentioned in the insurance. Many types of insurance exist today and there are so many companies that…
VS Code Extensions for Python
VS Code is one of the best code editors for every programming language. One of the reasons for its popularity is the support for extensions that give you a better coding experience. So if you are a Python programmer and…
PandasGUI Tutorial in Python
PandasGUI is an amazing Python library for data analysis. It is used for interactive visualization of a pandas DataFrame. It is built on the PyQT library in Python that is used for creating advanced desktop GUI applications. If you’ve never…
Python Program to Count Most Frequent Words in a File
Counting the number of specific words in a file is something you need to know as a coder. Counting the most frequent words in a file is one of the coding questions you can get to solve in any coding…
Machine Learning Projects on Binary Classification
Binary classification is one of the popular classification problems in machine learning where we have to predict the class of a sample based on two categories like 1 or 0, true or false, yes or no, etc. If you want…
Important NumPy Functions for Data Science
NumPy stands for Numerical Python, it provides all the functions you need to prepare and transform your data before using a machine learning algorithm. It can be compared to Python lists, but it offers more efficient storage and functionality for…
Klib Tutorial in Python
Klib is a Python library that provides amazing functionality for exploring your data in just a few lines of code. If you find that data exploration takes a lot of time, you can use this library as it gives you…
Python Program to Count Capital Letters in a File
Counting the number of specific letters from a file is something that every coder should know. One of the most popular coding interview questions based on this logic is to count the number of capital letters from a file. So…
Sarcasm Detection with Machine Learning
Sarcasm has been part of our language for many years. It means being the opposite of what you mean, usually with a distinct tone of voice in a fun way. If you think that anyone can understand sarcasm, then you…
Best Python GUI Libraries
A graphical user interface or GUI is a very important part of every application. Today, all websites, apps, and even smartphones give you almost the same performance you expect at a particular price point, but the only feature that sets…
Python Imaging Library (PIL) Tutorial
The Python Imaging Library or PIL is an amazing Python library used for image processing. This library provides so many features for working on images using Python. It is used as an image processing tool with other Python image processing…
Get Live Covid-19 Data using Python
Covid-19 is one of the topics you can work on in many unique data science projects. To work on any type of Covid-19 related project, you must work by using the latest dataset. So, if you want to learn how…
Water Quality Analysis
Access to safe drinking water is one of the essential needs of all human beings. From a legal point of view, access to drinking water is one of the fundamental human rights. Many factors affect water quality, it is also…
Types of Jobs in Data Science
If you think that data engineers, data scientists, machine learning engineers, and data analysts are the only types of professions you get in data science, you are completely wrong. There are many types of data science jobs that are based…
Performance Evaluation Metrics in Machine Learning
In Machine Learning, the performance evaluation metrics are used to calculate the performance of your trained machine learning models. This helps in finding how better your machine learning model can perform on a dataset that it has never seen before.…
Python Program to Remove Spaces
Spaces are nothing more than a string in Python. To remove space from a Python string, you must treat it the same way you have removed any other character from a string. So if you want to learn how to…
Data Science Projects Based on Domains
The use of data science has grown so much today that there is no area today where data science cannot be used. There are so many domains that you might be interested in working on in the future. So if…
Data Science Business Ideas
You must have seen something common in all new businesses and startups these days, it’s just data. Almost every new business and startup that you see and draw inspiration from use data science so much that they can figure out…
Agglomerative Clustering in Machine Learning
Agglomerative clustering is based on hierarchical clustering which is used to form a hierarchy of clusters. It is one of the types of clustering algorithms in machine learning. Unlike the K-Means and DBSCAN clustering algorithms, it is not very common…
Python Program to Remove Odd or Even Numbers From a List
The list in Python is like the array of other programming languages. It is one of the most used built-in data structures in Python. So, during a Python coding interview, you may come across many questions based on Python lists.…
Social Media Followers Prediction with Machine Learning
There are so many social media platforms today where you will find so many content creators in so many types of fields. As a social media consumer, the number of followers you have may not be of interest to you,…
Multinomial Naive Bayes in Machine Learning
The Multinomial Naive Bayes is one of the variants of the Naive Bayes algorithm in machine learning. It is very useful to use on a dataset that is distributed multinomially. This algorithm is especially preferred in classification tasks based on…
Phone Number Details using Python
There are a lot of tasks where we want to extract the details of a person’s phone number. It can help the telecommunications industry as well as other businesses that deal with people’s problems with networks. If you want to…
Car Price Prediction with Machine Learning
The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the…
Machine Learning Models Every Data Scientist Should Know
A machine learning model is a file that is trained to identify multiple relationships in a dataset. Usually, we train a model using a machine learning algorithm and use it for further predictions. Many powerful machine learning models are trained…
Plotly Tutorial using Python
Plotly is an amazing data visualization library that allows you to create beautiful and interactive data visualizations with just a few lines of code. Plotly is available for Python, R, MATLAB, Perl, and Julia also. It is therefore available for…
Collage Maker using Python
A collage maker is a tool used to merge different images into one. It allows you to save and share images as a collection of memories. You must have seen an option to create a photo collage on your smartphone…
End-to-End Hate Speech Detection with Python
Hate speech is one of the serious issues we see on social media platforms like Facebook and Twitter, mostly from people with political views. I recently shared an article on how to train a machine learning model for the hate…
All Topics of Mathematics for Machine Learning
Mathematics is one of the prerequisites that most data science enthusiasts fear to get into machine learning. Without learning math, it will be very difficult for you to create your algorithms although it is possible to learn machine learning if…
Bernoulli Naive Bayes in Machine Learning
The Bernoulli Naive Bayes is one of the variations of the Naive Bayes algorithm in machine learning and it is very useful to use in a binary distribution where the output label may be present or absent. If you have…
End-to-End Encryption using Python
End-to-end encryption is a system that ensures that only the users involved in the communication can understand and read the messages. Many applications use end-to-end encryption to protect their users’ data. So, if you want to know how to protect…
Hate Speech Detection with Machine Learning
Hate speech is one of the serious issues we see on social media platforms like Twitter and Facebook daily. Most of the posts containing hate speech can be found in the accounts of people with political views. So, if you…
Best Deep Learning Courses
If you want to become an expert in machine learning, you must also learn deep learning. There are many paid and free courses on the internet that can give you a comprehensive knowledge of the concepts of deep learning. So,…
PyScrappy in Python (Tutorial)
Web Scraping is one of the skills that every Data Science professional should know. Web scraping means collecting data from a website you want for a particular task. There are many Python libraries that you can use to collect data…
Violin Plot using Python
A violin plot is used to visualize and compare the distribution of quantitative data over several levels of categorical features. It is very useful to visualize several distributions in a dataset at a time. If you don’t know how to…
Amazon Product Reviews Sentiment Analysis with Python
Amazon is an American multinational corporation that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence products. But it is mainly known for its e-commerce platform which is one of the biggest online shopping platforms today. There are so…
Skills Companies Look for in a Data Scientist
Many freshmen with data science skills struggle to get their first job as data scientists. One of the main reasons behind this is that an interviewer doesn’t find the perfect personality in you to fit into a data scientist role.…
Data Visualization on Map using Python
There are many situations where we need to analyze geospatial data by creating a map of any location in the world. To analyze geospatial data, we just need to plot the latitude and longitude data on a map. So if…
All Topics of Statistics for Data Science
Data science isn’t just for people who know how to code, it’s primarily for those who can analyze a business’s performance and find the information needed to solve business problems. To understand a company’s performance, statistics is one of the…
Python Program to Find Seconds Per Day
There are 60 seconds in a minute, 3600 seconds in an hour, and 86400 seconds in a day. We can easily find the number of seconds in each day, hour, week or even a month as these are just simple…
Which Programming Language Should You Learn First?
One of the most common questions a student asks is which programming language to learn first. Since there are so many languages today, but they still see most college students using C++, Java, or Python, so this question makes sense…
Python Projects for Resume
Python is one of the most popular programming languages today. It is best to use by data scientists and web developers. Besides data scientists and web developers, many companies also require a Python developer. So if you are one of…
Unemployment Analysis with Python
Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labour force. We have seen a sharp increase in the unemployment rate during Covid-19, so analyzing the unemployment…
Datasets for Advanced Data Science Projects
There are many data sources on the internet where you can find thousands of datasets to work on data science projects. If you want to know what kind of datasets you can use to work on advanced data science projects,…
Remove Duplicates from a Python List
Removing duplicates from a Python list is one of the coding interview questions you may get to solve as a Python developer. So if you want to learn how to remove duplicate values from a Python list, this article is…
Best Masters Degrees for Data Science
Data science is one of the most popular fields today as the demand for data science professionals is increasing rapidly. If you want to become a data scientist, it is not mandatory to obtain a master’s degree in data science.…
F-Beta Score in Machine Learning
F-beta is the weighted harmonic mean of the precision and recall. It is used as a performance evaluation measure for classification-based machine learning models. If you’ve never used this performance measurement metric before to evaluate your classification models, this article…
End-to-End Fake News Detection with Python
The spread of fake news is one of the most negative sides of social media applications. Recently I shared an article on how to detect fake news with machine learning which you can find here. With its continuation, in this article,…
Data Science Projects on Time Series
In Data Science, when we are working on a problem whose output depends on periods or intervals, it means that we are working on a problem based on a time series analysis. If you want to work on some data…
Sum of Elements of a Python List
Python list is nothing more than a collection of elements used to perform operations on a collection of values at the same time. So, you can easily perform any mathematical operation on a Python list as that is the main…
Best Python Courses
Python is one of the most popular programming languages. It is mostly preferred by data scientists, machine learning engineers, and web developers. Learning the basics of Python properly is very important because once you have learned the basics, you can…
Classification Report in Machine Learning
A classification report is a performance evaluation metric in machine learning. It is used to show the precision, recall, F1 Score, and support of your trained classification model. If you have never used it before to evaluate the performance of…
End-to-End Spam Detection with Python
Spam detection is one of the machine learning projects that every data science beginner must have tried once. Recently I shared an article on how to detect spam emails and messages with machine learning which you can find here. With its…
All Topics of Deep Learning
Deep learning is a subset of machine learning in which we use the power of neural network architectures that mimic the workings of a human brain while solving a problem. If you want to become a machine learning engineer, you have…
Sunburst Plot using Python
Sunburst plot is an amazing visualization technique used to visualize hierarchical data. It extends radially outward from the root to the leaves to visualize hierarchical data. If you’ve never used sunburst charts before to visualize your dataset, this article is…
Use of Machine Learning in Social Media
There are so many applications in your smartphone that uses machine learning somewhere to provide a better user experience. Social Media applications are such applications that are found in every smartphone. So to understand the use of machine learning nothing…
Passive Aggressive Regression in Machine Learning
Passive Aggressive Regression belongs to the category of online learning in machine learning. It is not one of the most commonly used machine learning algorithms, but it can nonetheless be used to achieve efficient results that solve regression-based problems. So,…
Hotel Reviews Sentiment Analysis with Python
Whenever we are looking for hotels for vacation or travel, we always prefer a hotel known for its services. The best way to find out whether a hotel is right for you or not is to find out what people…
Best Web Development Courses
Web development is one of the major interests of so many computer science students. If you are among those who want to become a web developer, then you need to research some of the best web development courses. So, in…
Print a Calendar using Python
The calendar module in Python provides access to the calendar of any month of any year. If you’ve never used this module before, this article is for you. In this article, I will present a tutorial on how to write…
Best Websites to Learn Python
Python is one of the programming languages used today by big tech companies like Google. Python is primarily used by web developers, data analysts/data scientists, and machine learning engineers. There are many platforms on the internet that you can use…
Calculation of Accuracy using Python
In machine learning, accuracy is one of the most important performance evaluation metrics for a classification model. The mathematical formula for calculating the accuracy of a machine learning model is 1 – (Number of misclassified samples / Total number of…
Fake News Detection with Machine Learning
Fake news is one of the biggest problems with online social media and even some news sites. Most of the time, we see a lot of fake news about politics. So using machine learning for fake news detection is a…
Data Science Books for Beginners
As a beginner in data science, you must be looking for video tutorials and books online that can help you learn more about data science. So if you want to get an idea of what types of books are best…
Shutdown Computer using Python
The OS module in Python is used in various tasks that depend on the operating system. You must have used it before when writing or reading files from your computer to your Python program. It can also be used to…
Stochastic Gradient Descent in Machine Learning
Stochastic gradient descent is a machine learning algorithm that is used to minimize a cost function by iterating a weight update based on the gradients. If you’ve never used the SGD classification algorithm before, this article is for you. In…
Data Science Projects on Sentiment Analysis
Sentiment analysis is one of the popular examples of how businesses are using natural language processing in their applications. In most companies, today sentiment analysis is widely used to analyze a customer’s feelings by analyzing their reviews of their experience…
Spam Detection with Machine Learning
Detecting spam alerts in emails and messages is one of the main applications that every big tech company tries to improve for its customers. Apple’s official messaging app and Google’s Gmail are great examples of such applications where spam detection…
Text to Handwriting using Python
There are so many amazing features in a smartphone for typing today, like converting a user’s handwriting to text, but what if you want to convert text to handwritten text? If you want to know how to convert text to…
Best Python Libraries for Sentiment Analysis
One of the common tasks in natural language processing is sentiment analysis. If you want to work on a project based on natural language processing, sentiment analysis will be a good choice. Before you start a project on sentiment analysis,…
Explained Variance in Machine Learning
In machine learning, variance is the difference between the actual samples of the dataset and the predictions made by the model. When working on a regression-based machine learning problem, it is very useful to know how much of the variance…
Syllabus of Machine Learning
There are so many courses available today based on machine learning because the use of machine learning in the industry is increasing rapidly. I’ve seen a lot of courses that are expensive but still don’t include all of the important…
Billionaires Analysis with Python
The number of billionaires in a country says a lot about the business environment, startup success rate, and many other economic features of a Country. So if you want to learn more about how we can find relationships among billionaires…
Data Visualization Tools Every Data Scientist Should Know
Data visualization helps get a clear picture of the dataset you are working on because we humans can understand things better by combining colours and graphics instead of just numbers. Some amazing data visualization tools can help a data scientist…
Internet Speed Test using Python
You must have checked the speed of your internet connection once in your life using platforms like speedtest.net. Have you ever thought about doing the same with Python? Well if you want to learn how to perform an internet speed…
Best Programming Languages for Web Development
There are many programming languages for web development today. Some of them only focus on front-end development or back-end development, while some focus on full-stack development. So, if you don’t know which programming language to choose for web development, this…
R2 Score in Machine Learning
The R2 score is one of the performance evaluation measures for regression-based machine learning models. It is also known as the coefficient of determination. If you want to learn how to evaluate the performance of a machine learning model using…
Roles and Responsibilities of a Data Scientist
If you want to become a Data Scientist, you must have started learning how to work with data and machine learning algorithms. If you think that the job of a Data Scientist is only to train machine learning models, you…
Microsoft Stock Price Prediction with Machine Learning
Microsoft is today one of the largest technology companies with more than 163,000 employees worldwide. It is known for the Windows operating system which is one of the most popular computer operating systems. If you want to learn how to…
Machine Learning Projects with Source Code
It is very important to work on as many machine learning projects as possible to land your first job as a Data Scientist or Machine Learning Engineer. When you show up for your interview, you should have end-to-end machine learning…
Create Font Art using Python
The font that appears in the output of your Python program is the default font for your operating system. Changing the font of your output may not be possible without using an external library. This is where the PyFiglet library in Python…
Types of Algorithms
The sequence of steps we need to take to solve a particular problem is known as an algorithm. There are so many algorithms in computer science that fall under the categories of different types of algorithms. So, if you want…
Lazy Predict in Python (Tutorial)
Lazy Predict is a Python library designed to compare the performance of various machine learning models on a dataset. If you don’t know how to select an algorithm when training a machine learning model, this article is for you. In…
Fundamentals of Python
Python is a versatile programming language loved by so many data scientists, web developers, and even software engineers. To master Python for any profession, the most important step is to master the fundamentals of the Python programming language. So if…
Real-time Gender Detection using Python
Gender detection is one of the popular computer vision applications. When you use a camera to detect a person’s gender instead of detecting it on a picture, it can be said to be a real-time gender detection system. So, if…
How Companies use Python?
Python is one of the most popular programming languages today. As a student you might like Python more than other programming languages, but do you know how do companies use Python to solve their problems? If you don’t know how…
Resize Image using Python
Resizing images is one of the most important tasks in image processing. Sometimes we have to resize the images while working with them. There are many libraries in Python that can be used for this task, so if you want…
Set up VS Code for Python
Visual Studio Code is one of the best code editors you can use for almost any programming language and any professional project. Most people new to the Python programming language encounter issues while setting up the Visual Studio Code. So,…
t-SNE in Machine Learning
t-SNE is a very powerful machine learning algorithm that can be used to visualize a high-dimensional dataset also in two-dimensional figures. It stands for t-Distributed Stochastic Neighbor Embedding. If you want to learn more about t-SNE and how to visualize…
Advanced Computer Vision Projects
Computer vision is a field of artificial intelligence that means giving a computer system the ability to see and analyze images just like humans. The FaceId in iPhone is one of the popular examples of computer vision applications. So if…
Social Media Ads Classification with Machine Learning
The classification of social media ads is all about analyzing the ads for classifying whether your target audience will buy the product or not. It’s a great use case for data science in marketing. So, if you want to learn…
Data Science Project Ideas
Working on data science projects will help you improve your problem-solving skills and a good collection of data science projects will strengthen your portfolio which will leave a strong positive impact on your profile as a data scientist. So if…
Calendar GUI using Python
A calendar is an application that helps organize days. You must have seen a calendar in your home, on your computer, and even on your smartphone. If you want to learn how to create a graphical user interface for a…
Best Programming Languages for Data Science
Programming is one of the most important technical skills that every data scientist should know. There are currently over 700 programming languages out there, so if you want to know which programming language is best for data science, this article…
How to Split a Dataset in Machine Learning?
When we want to train a machine learning model, it is always recommended to divide the dataset into training and test sets if your dataset is large. If you are interested in learning how to split a dataset into training…
How to do Data Storytelling?
Data storytelling is one of the most important soft skills that any data scientist should have. It means presenting the story behind the numbers generated by a business so that we can conclude the future course of action. If you…
Amazon Alexa Reviews Sentiment Analysis using Python
Amazon Alexa is a cloud-based voice service developed by Amazon that allows customers to interact with technology. There are currently over 40 million Alexa users around the world, so analyzing user sentiments about Alexa will be a good data science…
Why Statistics is Important for Data Science?
Statistics is one of the most important concepts you need to know as a data scientist because without any knowledge of statistics you cannot understand data. If you are learning data science without any knowledge of statistics, this article is…
Send Automatic Emails using Python
Every time you register on a new app, you automatically receive a welcome message with your name on it. If you want to learn how to send such emails automatically, then this article is for you. In this article, I…
How Companies use Machine Learning?
In machine learning, we use data to predict the future course of action, but how does it add value to a company? If you are learning machine learning and don’t know how companies use machine learning, this article is for…
Independent Component Analysis in Machine Learning
Independent Component Analysis (ICA) is one of the alternatives of PCA that is used to find the underlying factors or components from a multivariate statistical dataset. This is different from a standard PCA because it looks for components that are…
All Python Libraries for Data Science
Support for the libraries provided by Python is one of the reasons this programming language is so popular among the data science community. To become a data scientist, you need to learn some of the Python libraries for data science.…
How to Train a Machine Learning Model?
There are many concepts in machine learning in which a beginner should be perfect. One of these concepts is the training of a machine learning model. So if you’ve never trained a machine learning model before, this article is for…
How to Learn Machine Learning?
Almost every business, big or small, today uses machine learning somewhere in their applications. Today, every business is in dire need of hiring machine learning experts, regardless of their educational background. So if you want to become an expert in…
Best Code Editor for Data Science
There are so many IDEs and Code Editors for data science available today. Most of them are free for a student and as well as a professional. Although choosing a code editor is a personal choice but choosing the best…
Convert Image to Array using Python
We need to convert an image to an array to use it for any kind of data science task where we need to understand the features of an image. Converting images to an array is as easy as converting text…
Visualize a Neural Network using Python
You must have used a neural network for training a model on your data. There are so many types of architectures of neural networks that you can use to train a model, but have you ever visualized the architecture of…
Data Science Interview Questions and Answers
Data science is a combination of computer science and data mining. During a data science interview, you may be faced with questions based on the fundamentals of computing and working with data. So, if you are looking for the types…
WhatsApp Chat Sentiment Analysis using Python
WhatsApp is a great source of data to analyze many patterns and relationships between two or more people chatting personally or even in groups. If you want to know how we can analyze the sentiments of a WhatsApp chat, this…
Best Websites to Learn Data Science
If you are new to data science and don’t know what to learn and how to learn, you should explore some websites and blogs that actively contribute to the data science community. There are many websites and blogs that you…
String Formatting in Python
String formatting plays an important role when storing and transferring data in a way that anyone can easily understand. If you are new to the Python programming language and don’t know how to format strings to display the output, this…
Data Science Projects for Resume
Most data science newbies are confused about the types of data science projects they should have on a resume. So if you are one of those people who want to know how to work on data science projects for your…
Non-Negative Matrix Factorization in Machine Learning
Non-Negative Matrix Factorization (NNMF) is a group of machine learning algorithms used in multivariate analysis and linear algebra. It is used in place of PCA when the dataset is composed of non-negative items. If you don’t know anything about the…
Difference Between Lists and Tuples in Python
Lists and tuples are data structures built into Python that are used to store items in sorted order. They both have very similar functions, but they are different in many ways nonetheless. So, if you want to know how a…
End-to-End Machine Learning Model
You’ll find plenty of machine learning projects and tutorials on the internet, but only a few of them focus on end-to-end model deployment. So, if you want to learn how to build an end-to-end machine learning model, then this article…