Machine_Learning_project

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

Here is how the general classification of ML algorithms looks like;

You will find the above algorithms in action when you go through my jupyter notebooks in detail.