Hyper-parameter optimization for sklearn

AutoML Libraries for training multiple ML models in one go with less code.

study of hyperparameter tuning methods

Classification of members & non-members along with statistical verification of significant independent variables

This repository provide a bayesian optimization approach to a times series to address categorical variables and optimize it in a batch process.