Machine Learning & AI (Online)

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• Are you new to this course: Course Overview

• Start your Onboarding: Get Started

Course Plan

Day	Date	Topics
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.