Videos available on my YouTube channel

Table of Contents

Part One: Introduction to Machine Learning

1. The Craft of Machine Learning
2. Learning R
3. Data Visualization in R
4. The Craft 1: Planning to Learn

Part Two: Linear Models

5. Linear Regression
6. Logistic Regression
7. Naive Bayes
8. The Craft 2: Predictive Analytics

Part Three: Modern R

9. The Tidyverse
10. ggplot2
11. The Craft 3: Data Wrangling

Part Four: Searching for Similarity

12. Instance-based learning with kNN
13. Clustering
14. Decision Trees and Random Forests
15. The Craft 4: Feature Engineering

Part Five: Kernel Methods and Ensemble Methods

16. Support Vector Machines
17. Ensemble Methods
18. The Craft 5: Choosing Algorithms

Part Six: Python for Machine Learning

19. Python Basics
20. Python Libraries for Machine Learning
21. Python Machine Learning Examples

Part Seven: Neural Networks

22. Neural Networks
23. Deep Learning with Keras
24. The Craft 6: Machine Learning Trends

Part Eight: Modeling the World

25. Bayes Nets
26. Markov Models
27. Reinforcement Learning
28. The Craft 8: Learning Theory