12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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scikit-learn: machine learning in Python
100 Days of ML Coding
Python Data Science Handbook: full text in Jupyter Notebooks
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Your new Mentor for Data Science E-Learning.
Parallel computing with task scheduling
The "Python Machine Learning (1st edition)" book code repository and info resource
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
An open source python library for automated feature engineering
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Visual analysis and diagnostic tools to facilitate machine learning model selection.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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
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.
A modular active learning framework for Python
Feature engineering and selection open-source Python library compatible with sklearn.