A notebook covering the following topics

• Imbalanced data
• Resampling
• Data cleaning
• Data manipulation
• Feature selection
• Imbalanced classification scoring
• Hyper parameter tuning
• Decision trees, random forests, gradient boosted decision trees

Libraries used:

• pandas
• numpy
• seaborn for visualisations
• sci* kit learn
• imblearn for resampling imbalanced data

To view notebook click above or if you'd like to clone this notebook use the following

git clone https://github.com/jcarpenter12/Imbalanced* Classification.git