MLimputer: Missing Data Imputation Framework for Supervised Machine Learning

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.

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.