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Machine Learning is revolutionizing industries worldwide. This Skill Tree offers a systematic way to learn ML concepts and techniques. Tailored for beginners, it provides a clear roadmap to grasp algorithms, model training, and data analysis. Hands - on, non - video courses and practical exercises in an interactive ML playground help you develop real - world skills in building and deploying machine learning models.
| Index | Name | Difficulty | Repo | Practice |
|---|---|---|---|---|
| 01 | Quick Start with Python | Beginner | 🔗 Repo | 🚀 Start Lab |
| 02 | Supervised Learning: Regression | Intermediate | 🔗 Repo | 🚀 Start Lab |
| 03 | Supervised Learning: Classification | Intermediate | 🔗 Repo | 🚀 Start Lab |
| 04 | Unsupervised Learning: Clustering | Intermediate | 🔗 Repo | 🚀 Start Lab |
| 05 | Foundations of Deep Learning | Intermediate | 🔗 Repo | 🚀 Start Lab |
| 06 | Quick Start with scikit-learn | Beginner | 🔗 Repo | 🚀 Start Lab |
| 07 | Quick Start with TensorFlow | Intermediate | 🔗 Repo | 🚀 Start Lab |
| 08 | Quick Start with OpenCV | Beginner | 🔗 Repo | 🚀 Start Lab |
| 09 | Machine Learning Practice Labs | Beginner | 🔗 Repo | 🚀 Start Lab |
| 10 | Machine Learning Practice Challenges | Beginner | 🔗 Repo | 🚀 Start Lab |