Phase 5: Machine Learning Fundamentals

Step into the fascinating world of Machine Learning. We will explain complex statistical models in simple, intuitive terms as you train, evaluate, and deploy predictive algorithms using Scikit-learn to solve real-world classification and regression challenges.

The curriculum is public. Reading these lessons requires access to the corresponding paid track. Compare access and pricing.

What will you learn?

• Understand ML concepts
• Train and evaluate models

Lessons and practice

1. Lesson 1: What is Machine Learning?
2. Lesson 2: Overfitting vs Underfitting
3. Lesson 3: Model Evaluation Metrics
4. AI & Machine Learning Foundations: Interactive Practice Workbook
5. AI/ML Fundamentals - Interview Questions & Answers
6. AI/ML Fundamentals Cheat Sheet
7. ⚡ 5-Minute Algorithm Overview
8. Lesson 2: Supervised Algorithms — How They Actually Work
9. Lesson 3: Unsupervised Learning — Finding Hidden Patterns
10. Lesson 4: The Master Model Comparison Guide
11. AI & Machine Learning Intermediate Tools: Hands-On Practice Workbook
12. AI & Machine Learning Intermediate Tools: Interview Questions & Technical Challenges
13. AI & Machine Learning Intermediate Tools: High-Density Reference Cheat Sheet
14. Lesson 1: Choosing the Right Model
15. Lesson 2: Scikit-Learn Pipelines — Production-Ready ML Code
16. AI & Machine Learning Model Selection & Pipelines: Hands-On Practice Workbook
17. AI & Machine Learning Model Selection & Pipelines: Interview Questions & System Designs
18. AI & Machine Learning Model Selection & Pipelines: High-Density Reference Cheat Sheet
19. Lesson 1: What is Time Series Data?
20. Lesson 2: Time Series Forecasting Deep-Dive — Stationarity, ARIMA & ML Lag Features
21. Time Series Forecasting Practice Exercises
22. Time Series Forecasting Cheat Sheet
23. Time Series Forecasting - Interview Preparation Guide
24. Time Series Forecasting Projects
25. Lesson 1: Causal Inference — Correlation is Not Causation
26. Lesson 2: Observational Causal Methods — When You Can't Randomise
27. Advanced Statistical Methods & Causal Inference - Practice Exercises
28. Advanced Statistical Methods & Causal Inference - Interview Preparation
29. Advanced Statistical Methods & Causal Inference - Quick Reference Cheatsheet

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