Scikit-learn
Machine LearningMachine learning library featuring classification, regression, clustering, and dimensionality reduction.
Installation
pip install scikit-learnDocumentation
Official DocsChapters Using Scikit-learn
Chapter 5: Supervised Learning Fundamentals (Python Ecosystem and Classical Machine Learning)
Primary Chapter 6: Classification Algorithms (Python Ecosystem and Classical Machine Learning)
Primary Chapter 7: Ensemble Methods (Python Ecosystem and Classical Machine Learning)
Primary Chapter 8: Unsupervised Learning (Python Ecosystem and Classical Machine Learning)
Primary Chapter 28: The Data Science Lifecycle (Data Science: Process & Practice)
Chapter 31: Feature Engineering & Selection (Data Science: Process & Practice)
Chapter 37: Resampling & the Bootstrap (Statistics & Statistical Inference)
Chapter 39: Regression & Generalized Linear Models (Statistics & Statistical Inference)
Chapter 48: Machine Learning for Time Series (Time Series Analysis & Forecasting)
Chapter 51: Reproducible Research & Notebooks (Programming for Data Science)