😎 A curated list of awesome MLOps tools

📝 An awesome Data Science repository to learn and apply for real world problems.

An opinionated list of awesome Python frameworks, libraries, software and resources.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning …

Resources for working with time series and sequence data

machine learning and deep learning tutorials, articles and other resources

A curated list of awesome Machine Learning frameworks, libraries and software.

Python implementations of the Boruta all-relevant feature selection method.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Feature engineering package with sklearn like functionality

Python Feature Engineering Cookbook, Third Edition, published by Packt

Time series forecasting with scikit-learn models

ALE Plots with python

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Automatic extraction of relevant features from time series:

A unified framework for machine learning with time series