1. Knowledge Discovery Design
2. Bayes Theorem
3. Identification / Decision Tress
4. Apriori Algorithm / Association Rules
5. Dimensionality Reduction
6. Clustering Algorithms
7. Regression
8. Density Based Clustering
9. Neural Networks (Classification) and LLM (Basics)

Problems:

1. Apriori algorithm

   1. https://www.youtube.com/watch?v=43CMKRHdH30&t=587s&pp=ygURYXByaW9yaSBhbGdvcml0aG0%3D
   2. https://www.youtube.com/watch?v=zi_ydmbWfAs&pp=ygURYXByaW9yaSBhbGdvcml0aG0%3D

   Frequent Pattern Growth (Exam ku irukanu therla)

   https://www.youtube.com/watch?v=7oGz4PCp9jI

2. Identification trees / Decision trees

   1. https://orkhanscience.medium.com/illustrated-guide-to-identification-trees-81fe45153817
   2. https://www.youtube.com/watch?v=coOTEc-0OGw&t=904s

3. Classification Naive Bayes

   1. https://www.youtube.com/watch?v=XzSlEA4ck2I&t=6s&pp=ygULbmFpdmUgYmF5ZXM%3D
   2. https://www.youtube.com/watch?v=caRLHyyUudg&pp=ygULbmFpdmUgYmF5ZXM%3D
   3. https://www.youtube.com/watch?v=fgbG7fHQwJk&list=PL4gu8xQu0_5I_UtjmsGnjfhAEzcXoas1O&index=52

   KNN

   1. https://www.youtube.com/watch?v=HZT0lxD5h6k&pp=ygUDS05O

4. Clustering KNN & DBScan

   1. https://www.youtube.com/watch?v=KzJORp8bgqs
   2. https://www.youtube.com/watch?v=-p354tQsKrs&pp=ygUFREJTY2E%3D
   3. https://www.youtube.com/watch?v=RDZUdRSDOok&pp=ygUFREJTY2E%3D

5. Dimensionality Reduction:

   1. PCA: https://www.youtube.com/watch?v=ZtS6sQUAh0c&pp=ygUDcGNh
   2. PCA: https://www.youtube.com/watch?v=XO0US1aTA50&pp=ygUDcGNh
   3. KL Divergence: https://www.youtube.com/watch?v=SxGYPqCgJWM&pp=ygUNa2wgZGl2ZXJnZW5jZQ%3D%3D

NOTES:

Reference: Textbook - Data Mining Concepts and Techniques