Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

Fast SHAP value computation for interpreting tree-based models

Global Sensitivity reporting for Explainable AI

In this Python notebook we will go through an example of implementing **Gradient Descent** in simple and multiple linear regression, for this we will be using housing dataset.

A collection of research papers on decision, classification and regression trees with implementations.

Credit Risk analysis by using Python and ML

Dynamic Nelson-Siegel in two steps

Titanic competion on Kaggle with 0.818 accuracy (ranking 227)

Trying to create Reinforcement Learning powered Bitcoin trading bot

Trading with recurrent actor-critic reinforcement learning

A personal side project to explore the use of Deep RL in stock trading