Repository for my coursework in the "Data mining and machine learning" course at ELTE
Subject code: dsminingf17vm
Credits: 4
The final grade is determined by the result of the homeworks and one main project in 80/20 proportion.
1. Exploratory data analysis score: 9.0/10
2. Unsupervised learning & clustering score: 10/10
3. Supervised learning introduction, K-Nearest Neighbors (KNN) score: 10/10
4. Linear regression score: 9.5/10
5. Logistic regression score: 9.5/10
6. Model selection score: 9.0/10
7. SVM score: 7.0/10
8. Tree models score: 10/10
9. Fully connected neural networks score: 9.0/10
10. Convolutional neural networks score: 10/10
11. More neural networks score: 10/10
12. Recap score: 9.0/10
(Some notebooks use interactive plots like plotly, use nbviewer to be able to render them appropriately.)