Machine learning

Machine learning algorithm implementations and explanations

Notebooks

The notebooks contains derivations and explanations of each method followed by implementations and example usage on well know data sets

machine_learning

This contains the source code for each of the implementations (these are the same as in each notebook)

Key algorithms covered

• Linear regression
• Logistic regression
• Knn
• Decision tree
• Random forest
• Gradient boosted decision tree
• Neural network