The R code demonstrates movie popularity with a bar plot and visualizes user ratings through a heatmap, offering insights into preferences. It outlines data preparation and collaborative filtering steps for building a recommendation system, enabling personalized movie suggestions. The analysis of recommendation system outputs provides a comprehensive understanding of its performance in catering to individual user preferences.

Using linear regression model to predict and interpret house prices based on various property features.

A detailed study on the accuracy of different algorithms that helps to find solutions for Employee Retention Management.