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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.
| 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 |
LabEx is an interactive, hands-on learning platform dedicated to coding and technology. It combines labs, AI assistance, and virtual machines to provide a no-video, practical learning experience.
- A strict "Learn by Doing" approach with exclusive hands-on labs and no videos.
- Interactive online environments within the browser, with automated step-by-step checks.
- A structured content organization with the Skill Tree based learning system.
- A growing learning resource of 30 Skill Trees and over 6,000 Labs.
- The learning assistant Labby, built on lastest AI models, providing a conversational learning experience.
Learn more about LabEx VM.