pirao

awesome-industrial-datasets

A curated collection of public industrial datasets.

GMNO

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

PaCMAP

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

pycaret

An open-source, low-code machine learning library in Python

shap

A game theoretic approach to explain the output of any machine learning model.

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Feature-Selection-for-Machine-Learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.