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DermatologyAnalysis

Description

Predicting Erythemato-Squamous Diseases (ESD) disease using Random Forests.

Report

The report for this project can be found here: dermatology_analysis.ipynb

Data Source

The data can be obtained here.

Dependencies

pip3 install pandas, numpy, sklearn, matplotlib, seaborn, pandas_ml

Python Version: 3.5+

Usage Instructions

Download the data:

cd /SOME/PATH/HERE
git clone https://github.com/TariqAHassan/DermatologyAnalysis.git

Download the data:

$ python3 data/download.py

Load the notebook

$ jupyter notebook

You can ue Kernel > Restart and Run All in the menu bar to run the notebook from scratch.

If you'd like to generate the single plot I created in R again, you can run:

$ Rscript dermatology_analysis/r_vizualizations.R

About

Tariq Hassan, Jan. 2018.

dermatologyanalysis's People

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