Skip to content

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

Notifications You must be signed in to change notification settings

peterdu98/applied_statistics

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

About

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

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published