Omicron Sentiment Analysis using Python
A few days ago, the WHO designated a new variant of the coronavirus, B.1.1.529, as a variant of concern which has been named Omicron. Right after that, we saw an outbreak of tweets about the…
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Machine Learning Projects on Multiclass Classification
In machine learning, multiclass classification is the problem of classifying between more than two classes. It is also known as multinomial classification. Simply put, when the target column in your dataset contains more than two…
Best Data Science Books for Finance
Financial analysis is one of the important tasks for every business. The use of data science in finance helps solve many business problems involving stock markets, risk analysis, hypothesis testing, fraud detection, risk management, credit…
How to Analyze Correlation in Data Science
Correlation is one of the most important statistical terms used in data science. It is used to measure the intensity of relationships between variables. If you know how to calculate correlation in data science but…
Useful Python Scripts
There are some pieces of scripts or code that we generally use in the middle of several tasks daily. For example, whenever I work on a sentiment analysis task, I always use one common script…
How to Give Inputs to a Machine Learning Model
One of the mistakes data science newbies make while working on a machine learning project is that they train a machine learning model, check its accuracy score, and then complete the project. They do not…
Best Laptops for Data Science Students
If you are new to data science or planning to start learning data science, you should know that you need to have a laptop that meets all the minimum requirements for data science tasks. As…
Data Science Books for Marketing Analysis
Marketing analysis is the process of identifying your potential customers and their buying and spending habits. It helps identify the perfect group of potential customers to market for a particular product or service. The use…
Free GPU for Machine Learning
A data scientist or machine learning engineer often needs the power of GPU to perform powerful calculations using deep neural network architectures. As a data science professional, you will have access to powerful laptops by…
Add Labels to a Dataset for Sentiment Analysis
A data scientist has to spend a lot of time preparing a dataset for any data science task because the data we get has a lot of errors, and sometimes it is not labeled. Adding…
Drop Rows and Columns of a Pandas DataFrame in Python
Dropping rows and columns from a dataset helps in preparing the data so that we can filter the data for better understanding. When we are working on a data science task, we store the data…
Product Demand Prediction with Machine Learning
You must have studied that the demand for a product varies with the change in its price. If you take real-world examples, you will see if the product is not a necessity, then its demand…
Recommendation System Project Ideas
A recommendation system is a data science application used by almost every platform today to recommend content to its users. Having recommendation system projects on your resume will help you get shortlisted in your preferred…
Best Books to Learn Data Visualization
Data visualization isn’t just about graphing your data, it means finding the story behind the numbers to discover the relationships between the features of a dataset. Data visualization is one of the most important skills…
Machine Learning Glossary
A glossary is a list of words with their meanings about a specific subject or topic. When learning machine learning, you go through a lot of terms that are not easy to remember, but if…
Best Approaches for Sentiment Analysis
Sentiment analysis is the task of natural language processing where we detect a positive or negative sentiment from a piece of text. Sentiment analysis is used by companies to analyze the opinions of customers about…
Index of Maximum Value in a Python List
Finding the index of the maximum value in a list or an array is one of the most common coding interview questions you can get in any coding interview. Here you have to find the…
Electricity Price Prediction with Machine Learning
The price of electricity depends on many factors. Predicting the price of electricity helps many businesses understand how much electricity they have to pay each year. The Electricity Price Prediction task is based on a…
Tools I use Daily as a Data Scientist
There are so many tools that a data scientist has to use daily, and each tool has several alternatives. Just like a programming language, you can choose any tool that you find easy to use,…
Binary Classification Algorithms in Machine Learning
Binary classification is one of the types of classification problems in machine learning where we have to classify between two mutually exclusive classes. For example, classifying messages as spam or not spam, classifying news as…