## Hyperopt(Distributed Hyperparameter Optimization): 
- https://github.com/hyperopt/hyperopt and 
- https://github.com/hyperopt/hyperopt-sklearn 

## StackNet: 
- https://github.com/kaz-Anova/StackNet

## Feature engineering
- https://www.cnblogs.com/tangxiaobo199181/p/12203808.html
- Count encoding
- Target encoding       
- one-hot encoding

## Hummingbird: Hummingbird is a library for compiling trained traditional ML models into tensor computations.

## DESlib: dynamic classifier and ensemble selection

## http://rasbt.github.io/mlxtend/
- from mlxtend.plotting import plot_decision_regions

## Kaggle learn
- Machine Learning Explainablility notebook.