Notes for the Machine Learning course @FEUP using Obsidian
| Topic | MD | |
|---|---|---|
| Data Mining Process | MD | |
| Data Preparation | MD | |
| Data Understanding | MD | |
| Advanced Issues in Data Preparation and Modelling | MD |
| Topic | MD | |
|---|---|---|
| Descriptive Modelling | MD | |
| Association Rules | MD |
| Topic | MD | |
|---|---|---|
| Classification: Introduction | MD | |
| Classification Algorithms | MD | |
| Regression | MD | |
| Introduction to Recommender Systems | MD | |
| Ensemble Learning | MD |
| Topic | MD | |
|---|---|---|
| Outlier Detection | MD | |
| ANN + Introduction to Deep Learning | MD | |
| Metalearning and autoML | MD |