App Reviews Sentiment Analysis means evaluating and understanding the sentiments expressed in user reviews of mobile applications (apps). It involves using data analysis techniques to determine whether the sentiments in these reviews are positive, negative, or neutral. If you want…
Search Queries Anomaly Detection means identifying queries that are outliers according to their performance metrics. It is valuable for businesses to spot potential issues or opportunities, such as unexpectedly high or low CTRs. If you want to learn how to…
A Book Recommendation System is a data-driven application designed to suggest books to users based on their preferences, reading history, and behaviour. It employs various data science and machine learning techniques to provide personalized book recommendations, enhancing the reading experience…
Scikit-learn is a powerful library that provides a wide range of tools for data preprocessing and machine learning. It is built on top of other popular Python libraries like NumPy, SciPy, and Matplotlib, making it an integral part of the…
Ads CTR Analysis stands for Click-Through Rate Analysis for advertisements. Ads CTR Analysis is the process of examining the effectiveness of online advertisements by measuring the rate at which users click on an ad’s link to reach the advertiser’s website.…
Text Analysis, also known as Text Mining or Natural Language Processing (NLP), is a technique used to extract meaningful information and insights from unstructured text data, including documents, emails, social media posts, customer reviews, and more. If you want to…
Machine Learning means using data and algorithms to build intelligent systems. There are various Machine Learning algorithms used for training models that help in solving problems and building intelligent systems. While learning Machine Learning, many people are often confused about…
“Machine Learning Algorithms: Handbook” is a book based on a step by step guide to all Machine Learning algorithms with implementation using Python. In this article, I’ll give you a complete overview of the book so that you can understand…
Everyone has their own way of approaching a Data Science problem. If you are a beginner in Data Science, then your way of approaching the problem will develop over time. But there are some steps you should follow to start…
Demand Forecasting means estimating future customer demand for a product or service based on historical data and relevant factors. Inventory Optimization is the strategic management of inventory levels to ensure that the right amount of goods is available at the…
Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour. If you want to learn…
A Web Data ETL (Extract, Transform, Load) pipeline is a systematic process used in data engineering to collect, transform, and load data from various sources on the internet into a structured and usable format for analysis and storage. So, if…
Forecasting the number of subscriptions Netflix will achieve in a time period is a vital business practice that enables them to plan, strategize, and make data-driven decisions. It enhances operational efficiency, financial planning, and content strategy, ultimately contributing to their…
A Music Recommendation System is an application of Data Science that aims to assist users in discovering new and relevant musical content based on their preferences and listening behaviour. Personalized music recommendations have become an essential tool in the digital…
Next Word Prediction means predicting the most likely word or phrase that will come next in a sentence or text. It is like having an inbuilt feature on an application that suggests the next word as you type or speak.…
A Machine Learning Engineer uses data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve problems. If…
Credit scoring and segmentation refer to the process of evaluating the creditworthiness of individuals or businesses and dividing them into distinct groups based on their credit profiles. It aims to assess the likelihood of borrowers repaying their debts and helps…
Dynamic Pricing is an application of data science that involves adjusting the prices of a product or service based on various factors in real time. It is used by companies to optimize revenue by setting flexible prices that respond to…
A hybrid recommendation system is a recommendation technique that offers a complete and balanced approach by mixing two or more recommendation techniques. It aims to provide more accurate, diverse and personalized recommendations to users leveraging the strengths of different techniques…
The currency conversion rate or exchange rate is an important economic indicator affecting several sectors, such as import-export businesses, foreign investment and tourism. By analyzing past data and predicting future exchange rates, we can gain valuable insights to help stakeholders…
Loan Approval Prediction is one of the problems that Machine Learning has solved in fintech businesses like banks and financial institutions. Loan approval prediction means using credit history data of the loan applicants and algorithms to build an intelligent system…
Not everyone is always available on social media all the time. Some people limit the use of social media during festive seasons, while some avoid social media during their examinations. So, as Content creators, we need to decide when to…
Retail price optimization involves determining the optimal selling price for products or services to maximize revenue and profit. So, if you want to learn how to use machine learning for the retail price optimization task, this article is for you.…
A chatbot is a computer program that understands the intent of your query to answer with a solution. Chatbots are the most popular applications of Natural Language Processing in the industry. So, if you want to build an end-to-end chatbot,…
Developing Data ETL pipelines is one of the most valuable skills for Data Engineers. Data ETL is a process where data is extracted from a place, then the data is transformed in some way, and then data is loaded into…
Employee attrition analysis means analyzing the behaviour of the employees who left your organization and comparing them with the current employees in your organization. It helps in finding which employee may leave soon. So, if you want to learn how…
Topic Modelling means assigning topic labels to a collection of text documents. The goal of topic modelling is to identify topics present in the text documents. So, if you want to learn how to perform topic modelling, this article is…
Text emotions classification is the problem of assigning emotion to a text by understanding the context and the emotion behind the text. One real-world example is the keyboard of an iPhone that recommends the most relevant emoji by understanding the…
App user segmentation is the task of grouping users based on how they engage with the app. It helps find retained users, find the user segment for a marketing campaign, and solve many other business problems where you need to…
Ads Click Through Rate is the ratio of how many users clicked on your ad to how many users viewed your ad. For example, 5 out of 100 users click on the ad while watching a youtube video. So, in…
Food Delivery services like Zomato and Swiggy need to show the accurate time it will take to deliver your order to keep transparency with their customers. These companies use Machine Learning algorithms to predict the food delivery time based on…
A recommendation system is a popular application of Data Science that recommends personalized content based on the users’ interests. Almost all the popular websites you visit today use a recommendation system. As the name suggests, a job recommendation system is…
In Machine Learning, we use data and algorithms to build intelligent systems. In the next ten years, you will explore many new high-paying jobs that require you to know about Machine Learning. So the time you will spend today learning…
Banks and credit card companies calculate your credit score to determine your creditworthiness. It helps banks and credit card companies immediately to issue loans to customers with good creditworthiness. Today banks and credit card companies use Machine Learning algorithms to…
Consumer Complaint Classification means classifying the nature of the complaint reported by the consumer. It is helpful for consumer care departments as they receive thousands of complaints daily, so classifying them helps identify complaints that need to be solved first…
Like all other jobs, the salary of a Machine Learning Engineer depends on many factors like work experience, living standards in the country, and demand for Machine Learning Engineers in the country. Out of all factors, work experience is the most important…
Salary differs according to the job profile of the person. But generally, it’s the working experience that determines the salary. Salary prediction is a popular problem among the Data Science community for complete beginners. So, if you are a beginner…
In Data Science, weather forecasting is an application of Time Series Forecasting where we use time-series data and algorithms to make forecasts for a given time. If you want to learn how to forecast the weather using your Data Science…
Credit card clustering is the task of grouping credit card holders based on their buying habits, credit limits, and many other financial factors. If you want to learn how to use clustering analysis to group credit card holders, this article…
In Machine Learning, we use data and algorithms to build intelligent systems. If you are preparing for a job based on Machine Learning and confused about what kind of projects you should work on to mention in your resume, this…
In Machine Learning, we use data and algorithms to build intelligent systems. It doesn’t matter if you want to become a Machine Learning Engineer, Data Scientist, or Data Analyst. If you want any job in the Data Science field, you need…
A diamond is one of the most expensive stones. The price of diamonds varies irrespective of the size because of the factors affecting the price of a diamond. So, if you want to learn how to use your Data Science…
In Machine Learning, we use data and algorithms to build intelligent systems. It doesn’t matter if you want to become a Machine Learning Engineer, Data Scientist, or Data Analyst. If you want any job in the Data Science field, you…
Natural Language Processing (NLP) is a subset of Artificial Intelligence where we aim to train computers to understand human languages. Some real-world applications of NLP are chatbots, Siri, and Google Translator. While working on any problem based on NLP, we…
Password Strength Checker is an application that checks how strong a password is. Some popular password strength meters use machine learning algorithms to predict the strength of your password. So, if you want to learn how to use machine learning…
The rent of a house depends on a lot of factors. With appropriate data and Machine Learning techniques, many real estate platforms find the housing options according to the customer’s budget. So, if you want to learn how to use…
Spam comments detection means classifying comments as spam or not spam. YouTube is one of the platforms that uses Machine Learning to filter spam comments automatically to save its creators from spam comments. If you want to learn how to…
A recommendation system is one of the popular applications of Data Science. A restaurant recommendation system is an application that recommends similar restaurants to a customer according to the customer’s taste. If you want to learn how to build a…
A recommendation system is one of the popular applications of Data Science. A Book Recommendation system is an application used to recommend similar books to a user. If you want to learn how to build a book recommendation system, this…
Netflix is a subscription-based streaming platform that allows users to watch movies and TV shows without advertisements. One of the reasons behind the popularity of Netflix is its recommendation system. Its recommendation system recommends movies and TV shows based on…
Website Traffic Forecasting means forecasting traffic on a website during a particular period. It is one of the best use cases of Time Series Forecasting. If you want to learn how to forecast traffic on a website, this article is…
Time Series Forecasting means analyzing and modeling time-series data to make future decisions. Some of the applications of Time Series Forecasting are weather forecasting, sales forecasting, business forecasting, stock price forecasting, etc. The ARIMA model is a popular statistical technique…
Instagram is one of the popular social media applications today. People use Instagram to share photos and videos. One of the reasons behind the popularity of Instagram is its recommendation system. It helps in grabbing the attention of the user…
There has been a high demand for online food orders after the introduction of Swiggy and Zomato in the market. Food delivery companies use your buying habits to make the delivery process faster. The food order prediction system is one…
Working on a data science project is one of the best ways of showing your skills in working with data. If you are a data science student, your university will ask you to submit a report on your data science project in…
Tinder is one of the most popular dating applications. It connects people having similar interests. To check whether Tinder helps people find partners, we can analyze the sentiments of people about Tinder. There are a lot of reviews on the…
MNIST Digits classification is one of the popular case studies in the data science community. It is based on the problem of Classification in Machine Learning. If you are a beginner in Machine Learning, you must try to solve this…
As a beginner in data science, the choice of topics for data science projects depends on the ease of availability of datasets. Sometimes students think about unique topics, but they can’t find a dataset for their project. So if you…
Student marks prediction is a popular data science case study based on the problem of regression. It is a good regression problem for data science beginners as it is easy to solve and understand. So if you want to learn…
The outbreak of Covid-19 resulted in a lot of restrictions which resulted in so many impacts on the global economy. Almost all the countries were impacted negatively by the rise in the cases of Covid-19. If you want to learn…
In Machine Learning, we use data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve…
TikTok is one of the most popular social media apps today. It is famous for its short videos. People often use this app to watch entertaining and funny videos. Despite its entertaining content, this application is not liked by everyone.…
Clustering is a machine learning technique to group data points characterized by specific features. Clustering music genres is a task of grouping music based on the similarities in their audio characteristics. If you want to learn how to perform clustering…
Covid-19 is one of the deadliest viruses you’ve ever heard. Mutations in covid-19 make it either more deadly or more infectious. We have seen a lot of deaths from covid-19 while there is a higher wave of cases. We can…
Instagram is one of the most popular social media applications today. People using Instagram professionally are using it for promoting their business, building a portfolio, blogging, and creating various kinds of content. As Instagram is a popular application used by…
If you are a Data Science student, you must have found it hard to choose a topic for creating your first data science project as a beginner. Some universities give a list that you can choose from, while some universities…
Today is the 19th day of war between Russia and Ukraine. Many countries are supporting Ukraine by introducing economic sanctions on Russia. There are a lot of tweets about the Ukraine and Russia war where people tend to update about…
As a beginner in data science, it’s hard to understand all the concepts you learn without implementing them on a dataset. Working on data science projects and case studies will help you improve your data science skills. If you’re struggling…
Breast cancer is one of the types of cancer that starts in the breast. It occurs in women, but men can get breast cancer too. It is the second leading cause of death in women. As the use of data…
Predicting the future sales of a product helps a business manage the manufacturing and advertising cost of the product. There are many more benefits of predicting the future sales of a product. So if you want to learn to predict…
The introduction of online payment systems has helped a lot in the ease of payments. But, at the same time, it increased in payment frauds. Online payment frauds can happen with anyone using any payment system, especially while making payments…
Flipkart is one of the most popular Indian companies. It is an e-commerce platform that competes with popular e-commerce platforms like Amazon. One of the most popular use cases of data science is the task of sentiment analysis of product…
Netflix is one of the most popular OTT streaming platforms. It offers a vast collection of television series and films and owns its productions known as Netflix Originals. People who are highly active in stock market investments always keep an…
Tipping waiters for serving food depends on many factors like the type of restaurant, how many people you are with, how much amount you pay as your bill, etc. Waiter Tips analysis is one of the popular data science case…
Text classification is a machine learning technique used to classify texts based on predefined labels. For example, classifying languages based on a dataset containing different languages with predefined labels. Text classification is used in various problems of natural language processing…
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…
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…
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…
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…
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,…
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.…
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,…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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 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…
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…
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…
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…
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,…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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.…
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…
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…
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…
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…
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…
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.…
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…
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…
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.…
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…
Real-time machine learning projects are the type of projects where a user can interact and get real-time output based on user actions rather than running the program over and over after each action. In this article, I will introduce you…
Tesla is an amAmericanlectric vehicle company whose aim is to accelerate the world’s transition towards sustainable energy. A few days back the rise in the stock prices of Tesla made Elon Musk the richest person in the world. Predicting stock…
An End to End machine learning model follows the complete lifecycle of a machine learning model which means to first collect data, then prepare the data according to the patterns found in the dataset, then train and evaluate the model…
Bankruptcy is a state of insolvency when a business or legal person cannot repay debts to creditors. Bankruptcy is primarily imposed by court order when initiated by the debtor. In this article, I will walk you through how to train…
Sentiment Analysis is an application of natural language processing that is used to understand people’s opinions. Today, many companies use real-time sentiment analysis by asking users about their service. In this article, I’ll walk you through real-time sentiment analysis using…
The price of a product is the most important attribute of marketing that product. One of those products where price matters a lot is a smartphone because it comes with a lot of features so that a company thinks a…
A recommendation system is typically used by product-oriented companies. Some of the big eCommerce websites like Amazon and Myntra continue to update their recommendation systems to provide a better user experience. In this article, I will introduce you to 2…
A human can express his emotions in any form, such as face, gestures, speech and text. The detection of text emotions is a content-based classification problem. In this article, I will take you through how to solve the problem of…
In any advertising agency, it is very important to predict the most profitable users who are very likely to respond to targeted advertisements. In this article, I’ll walk you through how to train a model for the task of click-through…
Forecasting energy consumption can play an important role in an organization to improve the rate of energy consumption by making the right decisions at the right time. In this article, I will walk you through the task of Energy consumption…
Recognition of human activity is one of the active research areas in machine learning for various contexts such as safety surveillance, healthcare and human-machine interaction. In this article, I will walk you through the task of Human Activity Recognition with…
Finding suitable candidates for a particular position is a difficult task, especially when you have received so many applications. It can increase the effectiveness of your team if you have the right candidate at the right time. This is the…
In this article, I will take you through Deepfake Detection with Python and Machine Learning. I recently wrote an article on what is Deepfake and how it is dangerous. If you don’t know what is Deepfake then I will suggest…
Fake Currency Detection is a real problem for both individuals and businesses. Counterfeiters are constantly finding new methods and techniques to produce counterfeit banknotes, which are essentially indistinguishable from real money. At least for the human eye. In this article,…
In this article, I will take you through how the tinder or other dating sites algorithms work. I will solve a case study based on tinder to predict tinder matches with machine learning. Now before getting started with this task…
In this article, I will take you through how we can classify the nationalities of people by using their names. You will be thinking about how we can classify nationalities by using just names. There is a lot about how…
In this article, I am going to walk you through how we can train a model that will help us predict car prices with Machine Learning using PyTorch. The dataset I’m going to use here to predict car prices is…
Rainfall Prediction is one of the difficult and uncertain tasks that have a significant impact on human society. Timely and accurate forecasting can proactively help reduce human and financial loss. This study presents a set of experiments that involve the…
In this article, I will take you through a real-world task of Machine Learning task to predict the migration of humans between countries. Human migration is a type of human mobility, where a journey involves a person moving to change…
In these types of machine learning problems to predict fuel efficiency, we aim to predict the output of a continuous value, such as a price or a probability. In this article, I will take you through how we can predict…
In this article, I will train a model to predict weather with machine learning. We will act as if we do not have access to the weather forecast. We have access to a century of historical averages of global temperatures,…
In this article, I am going to explain how we can train a neural network model for the task of image classification with TensorFlow. For those new to TensorFlow, TensorFlow is an end-to-end open-source platform for machine learning. It has…
The first galaxy was observed by a Persian astronomer Abd al-Rahman over 1,000 years ago, and it was first believed to be an unknown extended structure. which is now known as Messier-31 or the infamous Andromeda Galaxy. From that point…
In this article, I will use the algorithm provided by Facebook, popularly known as Facebook Prophet Model. I will use the Facebook Prophet Model for Daily Births Forecasting using Machine Learning. The Data I will use here is a very…
Humans take no effort to distinguish a dog, cat, or flying saucer. But this process is quite difficult for a computer to emulate: it only looks easy because God designs our brains incredibly well to recognize images. One common example…
In this article, I will take you through a very famous case study for machine learning practitioners which is to predict titanic survival with Machine Learning. I will first introduce you to this case study and then I will show…
Detection of emotions means recognizing the emotional state of a person – for example, anger, confusion or deception on vocal and non-vocal channels. The most common technique analyzes the characteristics of the voice signal, with the use of words as…
Contact tracing is a process used by public health ministries to help stop the spread of infectious disease, such as COVID-19, within a community. In this article, I will take you through the task of contact tracing with Machine Learning.…
Emotion detection involves recognizing a person’s emotional state – for example, anger, confusion, or deception on vocal and non-vocal channels. The most common technique analyzes the characteristics of the speech signal, with the use of words as additional input, if…
In this article, I’ll walk you through how to create a fashion recommendation system with Machine Learning that will work like highly personalized online shopping recommendations. But before you go ahead, you need to know what a recommendation system is.…
Named Entity means anything that is a real-world object such as a person, a place, any organisation, any product which has a name. For example – “My name is Aman, and I and a Machine Learning Trainer”. In this sentence…
Fraud is one of the major issues we come up majorly in banks, life insurance, health insurance, and many others. These major frauds are dependent on the person who is trying to sell you the fake product or service, if…
Indeed, two people can never have the same fingerprints, it is unique in every human. But using fingerprints we can classify gender, whether it’s male or female. In this article, I will take you through a Gender Classification Model which…
In this article, I will show you 5 beginner level Machine Learning Projects for Beginners. All the projects are solved and explained. If you are new to Machine Learning and want to improve yourself more before getting into projects you…
Machine Translation is one of the most challenging tasks in Artificial Intelligence that works by investigating the use of software to translate a text or speech from one language to another. In this article, I will take you through Machine…
Have you ever thought how Snapchat manage to apply amazing filters according to your face? It have been programmed to detect some marks on your face to project a filter according to those marks. In Machine Learning those marks are…
Introduction to CNN Convolutional neural networks (CNN) are primarily used to classify images or identify pattern similarities between them. So a convolutional network receives a normal color image as a rectangular box whose width and height are measured by the…
In this Article I will create a Linear Regression model and a Decision Tree Regression Model to Predict Google Stock Price using Machine Learning and Python. Download the data set Import pandas to import a CSV file: To get the…
This Article is based on SMS Spam detection classification with Machine Learning. I will be using the multinomial Naive Bayes implementation. This particular classifier is suitable for classification with discrete features (such as in our case, word counts for text classification). It…
Yolo v3 Object Detection in Tensorflow full tutorial What is Yolo? Yolo is a deep learning algorithm that uses convolutional neural networks for object detection.So what’s great about object detection? In comparison to recognition algorithms, a detection algorithm does not…
In this article, I will create a model for credit card fraud detection using machine learning predictive model Autoencoder and python. Lets start with importing libraries The data set I am going to use contains data about credit card transactions that…