Skip to content

Practicing machine learning with Python, SciKit Learn, Pandas, Matplotlib

Notifications You must be signed in to change notification settings

sajinieKavindya/machine-learning-2017

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Machine Learning 2017

This repository contains machine learning projects for the following data science competitions sponsored by Drivendata (https://www.drivendata.org/competitions):

Usage

These projects consist of one or more Jupyter notebooks. To run the notebooks you need to have a Python 3.6 environment setup with the following packages:

jupyter
matplotlib
numpy
pandas
scikit-learn
seaborn

The easiest way to setup this environment is to install the Anaconda Python 3.6 distribution (https://www.anaconda.com/download). Anaconda already has the necessary packages pre-installed. After cloning this repository run the command "jupyter notebook" from the machine-learning-2017 directory. On the notebook dashboard which shows a list of subdirectories click on a project folder and select one of the Jupyter notebook files (i.e. file with .ipynb suffix). If you need help using the Jupyter notebook you can find documentation here (https://jupyter.readthedocs.io).

About

Practicing machine learning with Python, SciKit Learn, Pandas, Matplotlib

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%