Books you need for Data Science & Machine Learning“Python for Data Science Handbook” by Jake VanderPlas: This book provides a comprehensive introduction to Python for data science, covering…Apr 18, 2023Apr 18, 2023
‘Men Are from Mars, Women Are from Venus’ a must-read book.“Men Are from Mars, Women Are from Venus” is a self-help book by John Gray that was published in 1992. The book explores the differences…Apr 17, 2023Apr 17, 2023
Understand Blockchain Technology in simple terms.Blockchain technology is a decentralized digital ledger that records transactions on a public or private network. It is a distributed…Apr 14, 2023Apr 14, 2023
Bayes’ Theorem in MLBayes’ Theorem is a fundamental concept in statistics and machine learning that provides a framework for reasoning under uncertainty. It is…Apr 13, 2023Apr 13, 2023
Apriori Algorithm in MLApriori algorithm is a widely used algorithm for finding frequent itemsets in large transactional databases. It is a popular algorithm for…Apr 12, 2023Apr 12, 2023
Imbalanced data in MLIn machine learning, one of the biggest challenges is dealing with imbalanced data. This is a situation where the distribution of classes…Apr 11, 2023Apr 11, 2023
Introduction to Deep LearningArtificial intelligence is when machines can perform tasks that would normally require human intelligence. It includes machine learning, in…Dec 21, 2021Dec 21, 2021
Implement google captcha in ASP.Net MVC using ‘reCAPTCHA Nuget Package’reCAPTCHA protects your website from fraud and abuse without creating friction.Oct 11, 2021Oct 11, 2021
Horse Racing Tipster Bets Prediction using ML Classification algorithmsThe tipsters use their skill to study the horses and make a prediction — that they think a particular horse will win a particular race.Jun 15, 2021Jun 15, 2021
Employee Compensation prediction using Linear RegressionThe New York City Controller’s Office maintains a database of the salary and benefits paid to city employees since the fiscal year 2013…Jun 13, 20211Jun 13, 20211
