๐จ๐ณ ็ฎไฝไธญๆ ๐ฏ๐ต ๆฅๆฌ่ช ๐ช๐ธ Espaรฑol ๐ซ๐ท Franรงais ๐ฉ๐ช Deutsch ๐ท๐บ ะ ัััะบะธะน ๐ฐ๐ท ํ๊ตญ์ด ๐ง๐ท Portuguรชs ๐บ๐ธ English
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 | ๐ Scikit-learn Cross-Validation | Beginner | ๐ View |
| 2 | ๐ Scikit-learn Data Loading and Exploration | Beginner | ๐ View |
| 3 | ๐ Scikit-learn Data Preprocessing | Beginner | ๐ View |
| 4 | ๐ Scikit-learn Installation and Setup | Beginner | ๐ View |
| 5 | ๐ Scikit-learn KNN Classification | Beginner | ๐ View |
| 6 | ๐ Scikit-learn Linear Regression | Beginner | ๐ View |
| 7 | ๐ Scikit-learn Model Evaluation | Beginner | ๐ View |
