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Learn scikit-learn, a powerful Python machine learning library, with this comprehensive learning path. Designed for beginners, this roadmap provides a structured approach to mastering ML algorithms, model selection, and evaluation. The scikit-learn Courses include hands-on, non-video tutorials and practical exercises in a data science playground, enabling the development of real-world experience in implementing machine learning solutions.
| Index | Name | Difficulty | Tutorial Link |
|---|---|---|---|
| 1 | 📖 Scikit-learn Cross-Validation | Beginner | 🔗 View |
| 2 | 📖 Scikit-learn Data Loading and Exploration | Beginner | 🔗 View |
| 3 | 📖 Scikit-learn Data Preprocessing | Beginner | 🔗 View |
| 4 | 📖 Scikit-learn Installation and Setup | Beginner | 🔗 View |
| 5 | 📖 Scikit-learn KNN Classification | Beginner | 🔗 View |
| 6 | 📖 Scikit-learn Linear Regression | Beginner | 🔗 View |
| 7 | 📖 Scikit-learn Model Evaluation | Beginner | 🔗 View |