Skip to content

Terrorbear/ML_Presentation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Introduction to Machine Learning

This respository contains code and examples demonstrating several algorithms used in machine learning.

Getting Started

These instructions will get you a copy of the Jupyter notebook used for demonstration of the algorithms.

Prerequisites

To be able to run the code, you need to be able to have python3 and pip installed. To check if you have these installed, you can run these on your command line:

$ python3 --version
Python 3.6.0

$ pip --version
pip 9.0.2 from [path]

Installing

To install all of the packages needed to run the notebook, run the following command.

$ pip install -r requirements.txt

Running

$ jupyter notebook

About

Introductory presentation on using scikit learn in Jupyter

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors