anantaarora Goto Github PK

Hey there!

So, you know how statistics is like the backbone of machine learning, right? It's like the secret sauce that helps us understand the connections between different variables. Well, I've put together this neat little collection of examples using various datasets. Each example follows a similar flow, but I've mixed it up with different statistical tests for each one. The idea is to make it easier for us to interpret what's going on.

Recommended steps to follow:

1. Preprocess the data, exact same as Part1-EDA.
2. Tests for independence between two categorical attributes
3. Normality Test for numeric attributes
4. Correlation between numeric attributes
5. Parametric and Non-Parametric test for samples

Please follow the guide to know what, when and how of the statistical tests.

Hope you enjoy diving into these examples and happy learning!