peterdu98 / applied_statistics

Python implementation (with explanation) of basic statistical models for machine learning.

Applied statistics for machine learning with Python

Introduction

This repository contains implementations of basic statistical models for machine learning in Python (version 3.6+). Each statistic model is implemented in a different ipynb file (using jupyter notebook to run). Aside from the implementation, there is an explanation on how to use the model and on when the model is used.

Table of content

1. Normalization
2. Distance Measures

Environments and Dependencies

1. Install Jupyter Notebook
2. Install Pandas
3. Install Numpy
4. Install scikit-learn
5. Install SciPy