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…
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…
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 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 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…
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…
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 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 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…
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…
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…
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 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 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 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…
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…
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…
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 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…
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 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…
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…
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…
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…
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…
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…
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.…
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…
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…
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 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…
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.…
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,…
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…
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…
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…
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 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…
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…
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…
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…
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 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 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…
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,…
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…
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 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…
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.…
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…
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…
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…
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 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 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…
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,…
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…
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 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…
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,…
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…
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…
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…
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…
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…
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 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…
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 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,…
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…
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…
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…
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…
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 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…
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…
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 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…
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…
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…
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…
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,…
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…
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…
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 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…
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…
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…
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…
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 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…
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…
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…
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 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…
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…
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…
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…
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…
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 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…
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…
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…
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…
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…
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…
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…
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 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…
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…
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…
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 (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…
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.…
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…
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…
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…
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…
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 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 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…
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 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…
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 (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…
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…
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…
When learning a programming language, it is very important to practice questions because the more questions you solve, the better you will improve in a programming language. So if you are learning Python and looking for some Python practice questions,…
IMDb is an online database that contains data about Movies, TV Shows, Streaming Shows, Video Games, Reviews, Ratings, and all other entertainment related data. Being an online database, it provides an API so that we can collect data from IMDb…
Over the years, the use of data science has increased in finance for several financial analysis tasks that can help increase an organization’s profits. If you are looking for data science projects on finance to learn how to use data…
AutoKeras is a Keras-based machine learning framework. It was developed by DATA Lab at Texas A&M University to provide deep learning for everyone. Simply put, it is an automatic machine learning framework for deep learning. If you want to learn…
A lot of people are often confused between machine learning and automation. These two areas are very different from each other. If you’re one of those people who doesn’t know how machine learning and automation are different, this article is…
Sentiment analysis is the classification of a customer’s reviews or comments as positive, negative, and sometimes neutral also. Most businesses analyze their customers’ feelings about their products or services to find out what their customers want from them. Google play…
When learning a programming language, it is very important to learn all the fundamentals of that language and then try to work on advanced projects. So if you are done with the basics of the Python programming language and are…
A resume scanner is an application that scans all the keywords on a resume to match the skills and qualifications needed for a particular job. If you want to learn how to scan a resume using the Python programming language,…
Marketing is one of the highest-paid areas where you can work as a data scientist. Marketing refers to the activities carried out by a company to promote its products and services. Data science can be used in many ways to…
When working on a data science task, sometimes many missing values act as a hindrance while getting the correct information from a dataset. We can easily remove the missing values, but sometimes we need to fill these values depending on…
Most beginners don’t know how to predict values using a machine learning model. What they do is train a model and check its accuracy and they end the task. But before you complete it, you should test how the model…
Video game sales analysis is a popular problem statement on Kaggle. You can work on this problem to analyze the sales of more than 16,500 games or you can also train a machine learning model for forecasting video game sales.…
Working on machine learning projects can make you an expert in machine learning. As a beginner, you only work on projects that are very common in the data science community. But if you want to become an expert, you have…
Python is a very popular programming language among the data science community because it has many libraries and frameworks for working on different types of data. Sometimes we need to use machine learning algorithms on images rather than a textual…
Clustering is a machine learning technique that is used to group unlabeled data points so that the data points present in a group are based on similar functionality. If you are looking for some data science case studies on clustering,…
While solving problems based on classification with machine learning, we mostly find datasets made up of categorical labels that cannot be processed by all machine learning algorithms. So, if you want to learn how to handle categorical data in machine…
Regression is a machine learning technique used in finance, investing, and other related fields to determine the relationship between a dependent variable and a series of independent variables. Simply put, when we want to predict the future values of a…
Dogecoin is the reason for the recent drop in bitcoin prices. The price of Dogecoin is currently very cheap compared to bitcoin, but some financial experts, including Tesla’s CEO Elon Musk, claiming that we will see a rise in the…
If your Python code displays an error message instead of showing you the results you want, it means there are errors or bugs in your code. These messages can be difficult to understand, but they tell you exactly the types…
Using a for loop over a list of values is as easy as looping through a variable, but if you want to learn how to loop over more than one list in Python, this article is for you. In this…
Due to the intensive use of data in decision making, every business today needs a team of talented data science professionals. There are certain technical skills you need to become a Data Scientist. So in this article, I’m going to…
Perceptron is one of the simplest architecture of Artificial Neural Networks in Machine Learning. It was invented by Frank Rosenblatt in 1957. In this article, I will take you through an introduction to Perceptron in Machine Learning and its implementation…
If you’ve just started learning data science, but aren’t sure what to do next to improve your data science skills, this article is for you. In this article, I will walk you through how to improve your data science skills…
Currency exchange is one of the biggest financial markets. Currently, 1 United States dollar is equivalent to 73.02 Indian rupees. Many factors affect exchange rates such as economic, political and even psychological factors. The prediction of the currency exchange rate…
Working on case studies is one of the best practices that will help you improve your problem-solving skills as a data scientist. In this article, I’m going to introduce you to some of the best data science case studies based…
Have you ever thought about making an application where a user gives the name of a city and gets live weather updates about that city as an output? Well, in this article I am going to walk you through how…
Due to the intensive use of data in decision making, every business today needs a team of talented data science professionals. There are certain soft skills that you must have other than the technical skills to become a Data Scientist.…
When training a machine learning model, it is very important to understand the bias and variance of predictions of your model. It helps in analyzing prediction errors which help us in training more accurate machine learning models. In this article,…
A neural network is a subset of machine learning that mimics the workings of a human brain while solving a complex problem based on deep learning. Neural networks are inspired by neurons found in the human brain. In this article,…
Forecasting sales is a difficult problem for every type of business, but it helps determine where a business should spend more on advertising and where it should cut spending. In this article, I will walk you through the task of…
Both PyTorch and TensorFlow have been used in industry for a long time. These two frameworks are the best in the features they provide for deep learning. So what should you learn? In this article, I’ll walk you through what…
When working on regression-based machine learning problems, sometimes we find that several independent features correlate not only with the dependent features but also with each other. This is what multicollinearity means. In this article, I’ll take you through an introduction…
Data visualization helps to understand the data you are working on. Data is a collection of numbers, and we humans can better understand the relationship between characteristics by visualizing them rather than simply comparing numbers. In this article, I’ll walk…
Kernel PCA is one of the variations of principal component analysis in machine learning that uses kernel methods to perform the initially linear operations of principal component analysis. In this article, I will take you through an introduction to Kernel…
Web Scraping means collecting or download any kind of content or data from a website. Most of the popular websites have their API that allows you to scrape data and Python has also many web scraping libraries that allows you…
A treemap is used to visualize hierarchical data as a set of nested rectangles. It is a data visualization tool for displaying data structured in a tree structure using nested rectangles. In this article, I’ll walk you through how to…
The use of deep neural architectures instead of the classic machine learning algorithms to train bigger models that can mimic the human brain while solving complex problems that involve heavy computing is known as deep learning. In this article, I…
When we use deep neural architecture instead of classic machine learning algorithms, it’s nothing but deep learning. In this article, I’m going to introduce you to some of the best deep learning projects with Python that you should try as…
Gender Detection is based on the applications of computer vision. There are so many computer vision libraries in Python that we can use for the task of recognizing the gender of a human being. In this article, I will take…
There are so many free and paid resources on the internet today for learning data science, but only a few of them are aimed at training you in data science and other coding interviews. So, in this article, I am…
The datasets that you find on the internet from various data sources are either created by companies and organizations or are collected from websites. You must have scraped data from web pages by using the Python libraries, but may have…
Whenever we want to solve the same problem on a new dataset with the same features that we solved before then we can use the same machine learning model that we trained earlier. But to use the same model again…
There are a lot of rumours around you about the coding interview at Google. It may be difficult to crack it, but it’s not entirely different from coding interviews at other tech companies. In this article, I’ll walk you through…
We can use the style functions built into the pandas library in Python to colour a DataFrame. It helps you easily understand different types of values without even visualizing them. In this article, I’ll walk you through how to colour…
We usually train a machine learning model to produce a single value or a single label as the output. But when the number of output classes is greater than one, this is the problem of multiclass classification. One-vs-all and One-vs-one…
Counting objects in an image is the task of computer vision. There are a bunch of computer vision libraries in Python that you can use for this task. But in this article, I will take you through a very simple…
The performance of a machine learning algorithm on a particular dataset often depends on whether the features of the dataset satisfies the assumptions of that machine learning algorithm. Not all machine learning algorithms have assumptions this is why all algorithms…
Most of the datasets that you find from different data sources on the internet are created by collecting data from websites. Using the GoogleNews API in Python, we can scrape trending updates based on any keyword or country. In this…
An end-to-end machine learning project means building a machine learning application that takes input at the start and provides a solution at the end based on the user input. In this article, I’m going to introduce you to some of…
Principal Component Analysis (PCA) is a dimensionality reduction algorithm used to reduce the dimensionality of a dataset. Sparse PCA is one variation of PCA that can exploit the natural sparsity of data while extracting the principal components. In this article,…
In unsupervised machine learning, the training data is not labelled and here you have to find clusters to detect the similarities between different data points. In this article, I’m going to introduce you to all the unsupervised machine learning algorithms…
While Loops provides a way to code general loops in any programming language. A while loop is typically used to repeatedly execute a block of code until the given condition becomes False. In this article, I will present a tutorial…
Apple’s new M1 chipset offers a powerful processor for every task. It has the most advanced neural engine which offers up to 11 times better performance for machine learning compared to the older MacBooks. So, is the new MacBook M1…
TextBlob is a Python library that can be used to process textual data. Some of the tasks where it is good to use are sentiment analysis, tokenization, spelling correction, and many other natural language processing tasks. In this article, I’ll…
From logging into your Facebook account to buying a new iPhone, it’s all backed up somewhere. We have so much data today that it’s used everywhere today, for example, to help a business understand a client’s needs or to help…
Swapping variables means assigning the value of variable a to variable b and vice versa. We have so many algorithms in computer science for swapping the values of two variables with each other, so in this article, I’m going to…
While working on a data science project, we are analyzing a dataset based on various features and patterns to gain insight or train a machine learning model that can add value to an organization. As a beginner, you must be…
In machine learning, customer segmentation is based on the problem of clustering which means finding clusters in a dataset with the same features. Customer segmentation can help a business focus on marketing strategies to increase profits and overall customer satisfaction.…
The use of big datasets in machine learning has grown exponentially since the first release of Apache Hadoop. Big Data has played a major role in the use of machine learning in applications such as mass clustering and collaborative filtering.…
Quartile deviation means the absolute measure of dispersion. It is the product of half the difference between the upper and lower quartiles (Quartile Deviation = (Q3 – Q1)/2). In this article, I will take you through how to calculate quartile…
AutoML helps solve advanced machine learning problems, even if you don’t have a lot of knowledge about data science and machine learning concepts. A startup can use AutoML to save time and money, while a data scientist can use AutoML…
Polynomial regression is a machine learning algorithm that is used to train a linear model on non-linear data. Sometimes your data is much more complex than a straight line, in such cases, it is not a good option to train…
Games are computer programs or software applications that contain a bunch of instructions. While Python is not a popular programming language for game development, it can nonetheless be used to create many different types of games. So in this article,…
Password Authentication is the process of checking the identity of a user. Almost every online platform today makes sure that they only give access to the real user which can be only possible by asking for a password while a…
In Machine Learning, binary classification consists of distinguishing two classes. For example, classifying messages as spam or not as spam. We have a bunch of machine learning algorithms for the binary classification task, so to help you choose the best…
You must have visited to check the stock prices of any company on Google and found a complete chart that represents the latest and the historical stock prices. You can also create such a real-time stock price data visualization system…
The Python standard library contains over 200 modules. Being an open-source programming language everyone can contribute to Python by creating more packages, libraries and modules. But some modules comes preinstalled with Python which collectively is known as the Python standard…
A graphical user interface (GUI) helps to interact with an application by providing a better user experience. You can think of a GUI as the interface of a website that helps you interact easily. To build your own GUI application…
Writing a program to check whether a number is even or odd is one of the first algorithms we write when learning a new programming language. In this article, I’ll walk you through how to write a Python program to…
Many machine learning algorithms can be used to solve complex problems that require a large amount of data with a large number of features, but deep learning can outperform all algorithms. So to understand where we can use deep learning…
A company should always set a goal that should be achievable, otherwise, employees will not be able to work to their best potential if they find that the goal set by the company is unachievable. The task of profit prediction…
Unsupervised learning is based on problems where there is no supervisor to explain to you about the data unlike supervised learning, i.e. when the data is not labelled. When the problems are based on how you can group items based…
Creating patterns by using a programming language is not less than designing an algorithm for a beginner. One of the easiest patterns that you can create is a pyramid that looks like a triangle. So to get your hands on…
Python is such a popular programming language among data scientists because of its beginner-friendly syntax and the support of libraries that we get for all data science tasks. So there are some of the Python libraries you need to learn…
Approximately 3.5 billion searches are performed on Google daily, which means that approximately 40,000 searches are performed every second on Google. So Google search is a great use case for analyzing data based on search queries. With that in mind,…
In machine learning, supervised learning is characterized by the concept of a supervisor whose goal is to provide an accurate measure of error that is directly comparable to the output values. If you don’t know in what kinds of problems…
There are so many card games today where you choose a card at random from a deck of cards to create an event. This is the feature of every card game today because you have to choose a card at…
A lot of computer science students have C++ as their main programming language but when they want to start with machine learning they learn languages like Python or R. So is C++ not a good language for machine learning? Yes,…
When using a machine learning algorithm, it is very important to train the model on a dataset with almost the same number of samples. This is known as a balanced class. We need to have balanced classes to train a…
When working on a data science task, sometimes the dataset you are using has features with very complex names, so to keep things simple we can rename the columns with complex names. So in this article, I will walk you…
Descriptive analysis is used to understand the past and predictive analysis is used to predict the future. Both of these concepts are important in machine learning because a clear understanding of the problem and its implications is the best way…
Working on some machine learning projects is one of the most useful strategies you can use as a beginner to learn machine learning. As a beginner, you are out of ideas about how to start with a project or which…
Eggs Catcher is a classic game where the goal is to catch as many eggs as possible. In this game, every egg you catch will increase your score and if you miss 3 eggs you will lose the game. In…
If you want to get a data science job, the first thing you need to have is a data science resume. A resume is a document that gives the first impression of a candidate, so it should be well prepared…
To sort an array we need to arrange the elements of the array by comparing each element efficiently. The merge sort algorithm uses the divide and conquer approach to sort an array by making the least number of comparisons between…
There are so many programming jobs that can pay you a really good amount of money no matter what company you work for. Most of these programming jobs can also pay a very good amount as a freelancer. So, in…
Uber has been a major source of travel for people living in urban areas. Some people don’t have their vehicles while some don’t drive their vehicles intentionally because of their busy schedule. So different kinds of people are using the…
There are so many machine learning algorithms for all machine learning problems like classification, regression, and clustering. You may be familiar with more than 3-4 algorithms for each task, but the problem every newbie faces is how to select a…
A choropleth map is a shaded map where the intensity of the colour indicates the intensity or quantity of a particular feature. In Data Science, the choropleth maps are used to visualize the distribution of a feature in a geographical…
Classification means categorizing something from a group based on some features. For example, spam detection is one of the most popular tasks of classification in the machine learning community, here we need to classify emails as spam or not spam.…
AutoTS is an automatic machine learning library in Python which is developed for the task of automatic time series forecasting. You can use this library for any task of time series forecasting such as predicting the stock prices for the…
Dijkstra’s algorithm is also known as the single-source shortest path algorithm. It is used for finding the shortest path between the nodes of a graph where the cost of each path is not the same. In this article, I will…
I recently shared an article on how to prepare for a coding interview, but sometimes you want to prepare for a coding interview for a specific company that has standards on what they expect from their employees. One of these…
Text analysis is one of the major applications where machine learning algorithms are used. The process of converting textual data into numerical data is known as the process of vectorization in machine learning. It is an important task because you…
Data Scientist is one of the best jobs in the IT industry today. So many professionals capable of coding are considering shifting their careers to become data scientist. If you can code or want to learn to code, you can…
In graduate studies, many students find it difficult to achieve good grades because they do not get much support in higher education courses compared to the support that students receive in schools. We can use machine learning for the student…
If you are from a statistical background, it will be easier for you to understand and analyze your data. Every time we get the data, we need to explore it to understand the features and distributions of data. Understanding the…
Stylecloud is a Python package that helps in creating beautiful word clouds in just a few lines of code. You can use this Python package to create unique and amazing word clouds from your textual data in just two lines…
If you are a beginner in data science, then you must be confused about which datasets you should use for improving your data science skills. If you have never worked on any dataset before then you should only choose datasets…
Do you know how you get a unique OTP every time you go through the payment process in an online transaction? Each company has its ways of creating an OTP for verification, but most of the companies have their systems…
C++ is one of the best programming languages for game development. Being an interpreter based programming language, Python is not much preferred for game development. But still, you can try to build some basic games with Python to improve your…
There was a time when Covid-19 got out of hand. Even after the lockdown, this still resulted in a rapid increase in cases as in some countries cases were brought under control but the economy was sacrificed. In such a…
A recommendation system is one such data science application that is used by almost all companies based on products and services on their website and software applications. In this article, I will introduce you to 4 data science projects on…
Countryinfo is a Python module that helps to extract information about any country about the properties of that country, including ISO information, states, languages spoken, currencies, and various other information. In this article, I will introduce you to a tutorial…
Computer vision is a subset of artificial intelligence where the goal is to process an image and then give a machine the ability to see what’s inside that image using machine learning algorithms. In this article, I will introduce you…