eliottvincent / machine-learning-assignment-2

machine-learning-assignment-2

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Project : machine-learning-assignment-2

Autor : Simon Bonnaud - Arthur Chevallier - Anaïs Pignet - Eliott Vincent

Subject : machine-learning

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#################### DESCRIPTION #################### This program is designed to load a set of data from a CSV file. The code then generates:

• Implements classifiers models
• Use the data set to train and test on the models

Generate evaluation measurements

#################### COMPOSITION #################### Files ->

• .gitignore: a git ignore file for versioning purpose
• A-main.py: the main file
• catToBin.py: convert binary features into sub-features
• correct.py: convert data into useful data
• dqr.py: generate Data Quality Reports from the dataset
• LICENSE: the software license to tell others what they can and can't do with our source code
• README.md: the present file Folders ->
• ./data/: the folder containing the data set (DataSet.csv) and the generated files

################### ENVIRONNEMENT ################### Python: 3.6.4 Modules: pandas, numpy and sklearn

##################### EXECUTION ##################### In the main file (A-main.py), you need to uncomment the fonction corresponding to the model you want to try command: python A-main.py

################# OUTPUTS FORMATS ################### Data Quality Reports: CSV format Histograms and bar plots: HTML format