Semester : Even
Academic Year : 2025/2026
Venue : Informatics Lab
Every : Tuesday (10.00 - 13.25 WIB) for Class "33"
Monday (16.25 - 19.30 WIB) for Class "34"
Week 1 (Semester Program Plan, Study Contract, Book and Supporting Materials) Download
Week 2 (The Fundamental of Machine Learning) Download
Week 3 (End to End Machine Learning Project) Download
Week 4 (Training Simple Machine Learning Algorithms for Classification) Download
Week 5 (A Tour of Machine Learning Classifier Using Scikit Learn) Download
Week 6 (Building Good Training Sets - Data Preprocessing) Download
Week 7 (Learning Best Practices for Model Evaluation and Hyperparameter Tuning) Download
Week 8 (Mid Exam) Download
Week 9 (Combining Different Models for Ensemble Learning) Download
Week 10 (Applying Machine Learning to Sentiment Analysis) Download
Week 11 (Predicting Continuous Target Variables with Regression Analysis) Download
Week 12 (Implementing a Multilayer Artificial Neural Network from Scratch) Download
Week 13 (Parallelizing Neural Network Training with TensorFlow) Download
Week 14 (Classifying Images with Deep Convolutional Neural Networks) Download
Week 15 (Deploying Machine Learning Models in Web Application) Download
Week 16 (Final Exam) Download
Semester : Even
Academic Year : 2025/2026
Venue : Informatics Lab
Every : Monday (10.00 - 13.25 WIB) for Class "31"
Tuesday (20.00 - 22.30 WIB) for Class "34"
Week 1 (Semester Program Plan, Study Contract, Book and Supporting Materials) Download
Week 2 (Introduction of Data Mining) Download
Week 3 (Getting to Know Your Data) Download
Week 4 (Output: Knowledge Representation) Download
Week 5 (Data Preprocessing) Download
Week 6 (Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods) Download
Week 7 (Classification: Advanced Methods) Download
Week 8 (Mid Exam) Download
Week 9 (Cluster Analysis: Basic Concepts and Methods) Download
Week 10 (Advanced Cluster Analysis) Download
Week 11 (Outlier Detection) Download
Week 12 (Data Mining Trends and Research Frontiers) Download
Week 13 (Introduction to Weka) Download
Week 14 (Writing New Learning Schemes) Download
Week 15 (Exercises for the Weka Explorer) Download
Week 16 (Final Exam) Download