GitHub - oliveradk/Logistic_Regression: Classifying candy as chocolate (or not)

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
UnitTests		UnitTests
__pycache__		__pycache__
data		data
README.txt		README.txt
accuracy.py		accuracy.py
candyRegression.py		candyRegression.py
cost.py		cost.py
gradientDescent.py		gradientDescent.py
logHypo.py		logHypo.py
logisticRegression.py		logisticRegression.py
plotCost.py		plotCost.py
processData.py		processData.py

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Logistic Regression created from numpy and applied to 538's candy dataset

Instructions: run candyRegression.py
  Optional: enter learning rate, regularization parameter, and max iterations
  at command line



Citations:
Data from 538 538: https://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/
Formulas from Andrew Ng's Machine Learning Coursera https://www.coursera.org/learn/machine-learning

Future Plans:
  improve unit testing