This repository contains detailed Exploratory Data Analysis of the datasets (both supervised and unsupervised datasets) with the final objective of devoloping the Machine learning models. Basically any Jupyter notebook starts with Data Description, Exploratory Data Analysis, Splitting of Dependent & Independent Variables (if Supervised Learning), Data scaling, Train Test Split followed by applying various ML algorithms for devoloping models