Scikit-learn for Beginners
July 1, 2026 · View on GitHub
Languages: English · 简体中文 · Español · Français · Deutsch · 日本語 · Русский · 한국어 · Português
This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.
Exercises
| Index | Name | Difficulty | Practice |
|---|---|---|---|
| 1 | Scikit-learn Installation and Setup | Beginner | Start Lab |
| 2 | Scikit-learn Data Loading and Exploration | Beginner | Start Lab |
| 3 | Scikit-learn Data Preprocessing | Beginner | Start Lab |
| 4 | Scikit-learn Linear Regression | Beginner | Start Lab |
| 5 | Scikit-learn KNN Classification | Beginner | Start Lab |
| 6 | Scikit-learn Model Evaluation | Beginner | Start Lab |
| 7 | Scikit-learn Cross-Validation | Beginner | Start Lab |
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