Machine Learning Tutorials

Each folder in this repository contains a stand alone machine learning tutorial, which I originally wrote for Decoding Biology, on topics ranging from data preperation, evaluation metrics, algorithm spot-checking, hyperparameter tuning, and more. Additional tutorials will continue to be added to this repository over time.

Index:

• Evaluating Machine Learning Models: An Introduction to Resampling Methods
• Evaluation Metrics For Classification Problems
• Evaluation Metrics For Regression Problems
• Comparing Machine Learning Algorithms: Spot Checking For Regression and Classificaiton Problems
• Introduction To Hyperparameter Optimization