This roadmap outlines our shared journey through Machine Learning. It is designed to be hands-on, collaborative, and flexible — grounded in strong resources like Hands-On ML, curated online courses, and practical exercises. Each topic links to its own folder containing resources, code, notes, and tasks. We’re building this not just to learn individually, but to grow as a team, help each other, and possibly build something great together.
| Topic 📚 | Status ✅ | Level 🎓 | Tasks 🔧 | Q&A ❓ |
|---|---|---|---|---|
| Math Foundation | 🔄 In Progress | 🟢 Beginner | Tasks 01 - ✅Done Tasks 02 - ✅ In Progress Tasks 03 - ✅ Done Tasks 04 - 🔄 In Progress | Q&A |
| Python Basics | 🔄 In Progress | 🟢 Beginner | Tasks 04 - 🔄 In Progress | |
| Intro to ML | ✅ Done | 🟢 Beginner | Tasks 02 - ✅ In Progress | Q&A |
| End-to-End Project | 🔄 In Progress | 🟢 Beginner | Tasks 03 - ✅ Done Tasks 04 - 🔄 In Progress | |
| Classification | ❌ Not Started | 🟠 Intermediate | ||
| Training Models | ❌ Not Started | 🟠 Intermediate | ||
| SVM | ❌ Not Started | 🟠 Intermediate | ||
| Decision Trees | ❌ Not Started | 🟠 Intermediate | ||
| Ensembles | ❌ Not Started | 🟠 Intermediate | ||
| Dimensionality Reduction | ❌ Not Started | 🟠 Intermediate | ||
| Unsupervised Learning | ❌ Not Started | 🟠 Intermediate | ||
| Neural Networks | ❌ Not Started | 🔴 Advanced | ||
| Training Deep Nets | ❌ Not Started | 🔴 Advanced | ||
| CNNs | ❌ Not Started | 🔴 Advanced | ||
| RNNs | ❌ Not Started | 🔴 Advanced | ||
| Autoencoders & GANs | ❌ Not Started | 🔴 Advanced | ||
| Reinforcement Learning | ❌ Not Started | 🔴 Advanced |