This is the Repository for understanding the work on Exploratory Data Analysis, Statistics & Machine Learning Models. In this repo you will find all the accompanying Jupyter (a.k.a. iPython) Notebooks.

1. Linear Regression Model & Assumptions Click Here

2. Big Mart Sales Project - EDA & Outlier Treatment Click Here

3. Predicting Sales - EDA, Feature Engineering & Machine Learning Model Click Here

4. Hypothesis Testing (One Sample & Two Sample T-Test) Click Here

5. Understanding Anova & Chi Square Test Click Here

6. One Way & Two Way Anova Examples Click Here

7. Black Friday Purchase Price Prediction - ML Models Click Here

8. Regularization Models (Ridge, Lasso & Elastic Net) Click Here

9. Healthcare Analytics - EDA, Feature Engineering & Machine Learning Model Click Here

10. Insurance Claim Prediction Problem - EDA, Feature Engineering & Machine Learning Model Click Here

1. Understanding Data Science Using IPL Dataset Click Here
2. Exploratory Data Analysis on Netflix Click Here