Schedule

Important dates (more info during the class)

• Monday the 29^th of April: Written exam (in-class)
• Sunday the 19^th of May: Project report deadline
• Thursday the 23^rd of May: Project presentation deadline
• Monday the 27^th of May: Presentations of the projects

Week	Date	Topic	Lecture Pdf	Lecture Qmd	Lab
1	Mon, Feb 19	Introduction + EDA	🧑🏻‍🏫 Introduction 🧑🏻‍🏫 EDA	📄 Introduction 📄 EDA
2	Mon, Feb 26	Models (regression & classification)	🧑🏻‍🏫 Intro to Models 🧑🏻‍🏫 Linear & Logistic Models 🧑🏻‍🏫 Trees	📄 Intro to Models 📄 Linear & Logistic Models 📄 Trees
3	Mon, Mar 4	Lab 1			📝 Lab 1: Slides 💻 Setup 💻 LinLogReg 💻 Tree
4	Mon, Mar 11	Metrics (& Overfitting detection)	🧑🏻‍🏫 Neural Networks 🧑🏻‍🏫 Support Vector Machines 🧑🏻‍🏫 Metrics	📄 Neural Networks 📄 Support Vector Machines 📄 Metrics
5	Mon, Mar 18	Lab 2			📝 Lab 2: Slides 💻 NN 💻 SVM 💻 Scoring
6	Mon, Mar 25	Data splitting + Ensemble methods	🧑🏻‍🏫 Data Splitting 🧑🏻‍🏫 Ensemble Methods	📄 Data Splitting 📄 Ensemble Methods
7	Mon, Apr 1	no lecture 😢
8	Mon, Apr 8	Lab 3			💻 Splitting 💻 Ensemble
9	Mon, Apr 15	Interpretable ML + Unsupervised Learning	🧑🏻‍🏫 Interpretable ML 🧑🏻‍🏫 Intro to Unsupervised Learning 🧑🏻‍🏫 Clustering 🧑🏻‍🏫 Dimension Reduction	📄 Interpretable ML 📄 Intro to Unsupervised Learning 📄 Clustering 📄 Dimension Reduction
10	Mon, Apr 22	Lab 4 + revisions			💻 VarImp 💻 Clustering 💻 PCA 💻 Autoencoders
11	Mon, Apr 29	Partial Written Exam (on site) ❗
12	Mon, May 6	Working session (projects)			🗣 TA Virtual Lab
13	Mon, May 13	Working session (projects)			🗣 TA Virtual Lab
	1 Sun, May 19	Project report deadline (moodle) ❗
14	Mon, May 20	no lecture 😢
	1 Thu, May 23	Project presentation deadline (moodle) ❗
15	Mon, May 27	Project presentations (on site) ❗
1 📩 Report submission at 23:59

Note

The content of the schedule may be adapted (faster or slower).