Python-Machine-Learning-Algorithms

This is an implementation of machine learning classifiers in Python using different algorithms

1. Gaussian Naive Bayes (http://scikit-learn.org/stable/modules/naive_bayes.html)

2. Decision Trees Classifier (http://scikit-learn.org/stable/modules/tree.html#classification)

#To Do

1. Decision Trees (http://scikit-learn.org/stable/modules/tree.html):

a) Decision Tree Regressor

Pre-requisite

1. Install Anaconda (https://www.anaconda.com/download)

Run

1. Launch Anaconda (Avails Sci-Kit package: http://scikit-learn.org/stable/)
2. Launch Jupiter Notebook
3. Run your preferred algorithm

Outcome

Gaussian Naive Bayes classifier accuracy => 0.9414893617021277 (Consistent)

Decision Tree Classifier accuracy => 0.9148936170212766 (Varies)