Introduction

• topic 1. Introduction
• topic 2. Work with R & Documentation and deployment of your code

Evaluation

• topic 3. How to evaluate output?
• topic 4. How to perform evaluation?

Feature reduction

• topic 5.1 Feature extraction
• topic 5.2 Advcanced feature extraction

Visualization and Exploratory

• topic 6. Visualization
• topic 7. Exploring/managing data

Unsupervised learning

• topic 8. ​Unsupervised learning

Supervised learning

• topic 9. Supervised learning (1/6)
• topic 10. Supervised learning (2/6)
• topic 11. ​Supervised learning (3/6)
• topic 12. ​Supervised learning (4/6)
• topic 13. Supervised learning (5/6)
• topic 14. Supervised learning (6/6)

References and supplementaries

• Reference Books
• Additional Material
• Other References