Machine Learning

Python

Machine Learning

Slides and materials for the Machine Learning course.

Author

Deri Siswara

Published

July 6, 2025

1 Introduction to Machine Learning

2 Machine Learning Workflow

Code Exercise 1 Code Exercise 2

3 Linear Regression and Variable Selection Techniques: Subset-Selection

4 Linear Regression and Variable Selection Techniques: Shrinkage Methods (Ridge, Lasso, Elastic Net)

5 Nonlinear Regression

6 Decision Tree Regression

7 Random Forest Regression

8 Logistic Regression

Code Exercise 1

Code Exercise 2

9 K-Nearest Neighbors, Support Vector Machine, and Bayesian Classifier

10 XGBoost dan Isu Dalam Pemodelan Klasifikasi

11 Unsupervised Learning: Clustering

12 Neural Networks

Code Exercise 1

Code Exercise 2

13 Project-Based Learning

Akan di presentasikan pada pertemuan sebelum UAS, yaitu pada Rabu, 04 Juni 2025.

Citation

BibTeX citation:

@online{siswara2025,
  author = {Siswara, Deri},
  title = {Machine {Learning}},
  date = {2025-07-06},
  langid = {en}
}

For attribution, please cite this work as:

Siswara, Deri. 2025. “Machine Learning.” July 6, 2025.