Machine Learning & AI (Online)
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Course Plan
Mon
17.03.2025
Course Kick off online Welcome Session + Introduction + Workspace Prep Review of Python, Pandas, NumPy + Matplotlib
Wed
19.03.2025
Review of Python, Pandas, NumPy + Matplotlib
Mon
24.03.2025
ML Intro ML intro, what are models, high-level course overview Feature engineering usage and why its important
Wed
26.03.2025
Lab Class
Mon
31.03.2025
ML Regression Regression types, implement univariate, polynomial, multivariate regression
Wed
02.04.2025
Lab Class
Mon
07.04.2025
ML Regression: Regularization Regression types, implement univariate, polynomial, multivariate regression, Under-/Overfitting, Train/Val/Test Split, Resampling Techniques
Wed
09.04.2025
Lab Class
Mon
14.04.2025
ML Model Prep: Model Preparation and Evaluation Under-/Overfitting, Train/Val/Test Split, Resampling Techniques
Wed
16.04.2025
Lab Class
Mon
21.04.2025
Holiday
Wed
23.04.2025
ML Classification: Classification Theory, Confusion Matrix, ROC
Mon
28.04.2025
ML Classification: Classification Practical implement Logistic Regression, SVM, Random Forest, etc.
Wed
30.04.2025
Lab Class
Mon
05.05.2025
Students mid-Term Feedback Session
Wed
07.05.2025
ML Clustering / DimRed Clustering Techniques, e.g. kmeans, hierarchical clustering, density-based clustering
Mon - Thurs
12.05.2025 until 15.05.2025
Students Participate in Career Week. Pick 2 workshops you like! More info in the Talent Success Slack channel!
Mon
19.05.2025
NLP
Wed
21.05.2025
Lab Class
Mon
26.05.2025
Final Project Kick-Off
Wed
28.05.2025
Project Preparation 1
Mon
02.06.2025
Project Preparation 2
Wed
04.06.2025
Project Preparation 3
Mon
09.06.2025
Holiday
Wed
11.06.2025
Project Preparation 4
Mon
16.06.2025
Project Preparation 5
Wed
18.06.2025
Class Demo Day
⭐️ Help
Reach out to Abdullah, your Course Manager, for help via Slack.
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