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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Open standard for machine learning interoperability

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Parallel computing with task scheduling

Fast and Accurate ML in 3 Lines of Code

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A unified framework for machine learning with time series

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Automated Machine Learning with scikit-learn

An open source python library for automated feature engineering

Fit interpretable models. Explain blackbox machine learning.

A scikit-learn compatible neural network library that wraps PyTorch

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Visual analysis and diagnostic tools to facilitate machine learning model selection.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Seamlessly integrate LLMs into scikit-learn.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Sequential model-based optimization with a `scipy.optimize` interface

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

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

An intuitive library to add plotting functionality to scikit-learn objects.

A modular active learning framework for Python

Feature engineering and selection open-source Python library compatible with sklearn.

Python library for portfolio optimization built on top of scikit-learn

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Genetic Programming in Python, with a scikit-learn inspired API

Python AutoML for Trading Systems and Sports Betting