Machine Learning Fundamentals

This skill tree guides learners from foundational Python and math through core ML algorithms, model evaluation, and practical deployment. It is designed for beginners and intermediate practitioners who want a structured path into applied machine learning and data science.

Topic: Machine Learning

Skills in this learning roadmap

1. Python Basics
2. Linear Algebra for ML
3. Probability & Statistics
4. NumPy & Pandas
5. Data Visualization
6. Calculus & Optimization
7. Supervised Learning
8. Unsupervised Learning
9. Feature Engineering
10. Model Evaluation & Validation
11. Ensemble Methods
12. Intro to Neural Networks
13. Deep Learning (CNNs & RNNs)
14. ML Pipelines & Deployment

Explore the interactive map, then copy it to your account to start learning.