Beginner ML
Machine Learning Roadmap
A practical roadmap to master Machine Learning from zero to advanced — with strong emphasis on hands-on projects and real-world skills.
Beginner Roadmap – Start Here
Perfect if you're new to programming or AI. Build strong foundations first.
| Step | Topic | Key Concepts | Hands-on Projects | Best Free Resources |
|---|---|---|---|---|
| 1 | Python for Machine Learning | Python basics, NumPy, Pandas, data visualization | Data exploration on Titanic/Iris datasets, simple scripts | Kaggle Python Course Automate the Boring Stuff with Python freeCodeCamp Python for Everybody |
| 2 | Machine Learning Fundamentals | Supervised learning basics, regression, classification, evaluation metrics | Build your first classifiers and regressors on Kaggle datasets | Andrew Ng Machine Learning Specialization Kaggle Intro to Machine Learning Google Machine Learning Crash Course |
| 3 | Data Handling & Visualization | Pandas, Matplotlib/Seaborn, exploratory data analysis | Create insightful visualizations and clean real datasets | Kaggle Pandas Course Kaggle Data Visualization |
| 4 | Version Control & Workflow | Git, GitHub, sharing ML projects | Upload notebooks and models to GitHub and Kaggle | roadmap.sh Git & GitHub GitHub Skills |