Naive Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification … Read More

## Feature Selection – Ten Effective Techniques with Examples

In machine learning, Feature selection is the process of choosing variables that are useful in predicting the response (Y). It … Read More

## Caret Package – A Practical Guide to Machine Learning in R

Caret Package is a comprehensive framework for building machine learning models in R. In this tutorial, I explain nearly all … Read More

## Logistic Regression – A Complete Tutorial With Examples in R

Logistic regression is a predictive modelling algorithm that is used when the Y variable is binary categorical. That is, it … Read More

## How to implement common statistical significance tests and find the p value?

How to implement and interpret the commonly used statistical significance tests in R? Understand the purpose, when to use and … Read More

## Complete Introduction to Linear Regression in R

Linear regression is used to predict the value of a continuous variable Y based on one or more input predictor … Read More