MLimputer: Missing Data Imputation Framework for Machine Learning

This script analyses the relationship between the Human Development Index (HDI), population, and non-religious groups in various countries. Plots visualise relationships between HDI, population, and non-religious groups and using scatterplots and a linear regression model to predict.

This project analyzes Netflix's content library using SQL. It explores content type distribution, rating trends, country-wise content availability, and genre classification to extract meaningful insights from Netflix data for better analysis.

In this project, we have a set of data related to cyclists, which we intend to analyze, and it should be known that cyclists are very sensitive to air temperature.