Y3 - Business Analytics

Inhoud

De koppen uit dit document, op volgorde. Niet de inhoud zelf.

1. Lecture 3: Business Analytics
2. Supervised Learning
3. What we will learn?
4. Challenges with Hold-out Sample Method
5. Cross-Validation
6. Regression Analysis: revisited
7. Examples of hyper-parameters: Lasso Regression
8. Tuning Hyper-Parameters Using 5-Fold Cross-Validation
9. Linear regression for classification?
10. Logistic Regression
11. Probability and Odds
12. Estimate coefficients -- DONT NEED TO KNOW
13. Explore the endless sea of data: unsupervised learning
14. Challenges of unsupervised learning
15. Principal Component Analysis
16. Principal Component Analysis – practicalities
17. Clustering analysis
18. K-Means Clustering
19. Clustering - paracticalities
20. Clustering – complexity and bias-variance tradeoff