# Planning and summaries

## Files

Exercises are avaliable here in pdf format: Tutorials.pdf (Last updated on 2019-11-3).

Note: the tutorials will be updated during the semester. It is best not to print them and to check this page regularly for updates.

### Tutorial 1, P1: 2019-09-17; P2, P3: 2019-09-18; P4, P5, P6: 2019-09-19

Summary
Introduction to Python. Fitting and visualization
Chapter 1 of the Tutorials booklet.
Download the file with the planetary data,planets.csv, and the file with the polynomial fit data, polydata.csv (right-click, save as)
Solution:T01.py

### Tutorial 2, P1: 2019-09-24; P2, P3: 2019-09-25; P4, P5, P6: 2019-09-26

Summary
Fitting Polynomials: overfitting; model selection; training, validation and testing.
Chapter 2 of the Tutorials booklet.
Solution:T02.py

### Tutorial 3, P1: 2019-10-01; P2, P3: 2019-10-02; P4, P5, P6: 2019-10-03

Summary
Logistic regression: overfitting; model selection with cross validation.
Chapter 3 of the Tutorials booklet.
(OPTIONAL) here is an auxiliary model with useful functions to help in this exercise: t3_aux.py
Solution:T03.py

### Tutorial 4, P1: 2019-10-08; P2, P3: 2019-10-09; P4, P5, P6: 2019-10-10

Summary
Support vector machines. Bagging.
Chapter 4 of the Tutorials booklet.
The solution for this tutorial will not be published as it includes code used on the first assignment.

Summary
Assignment 1

Summary
Assignment 1

### Tutorial 7, P1: 2019-10-29; P2, P3: 2019-10-30; P4, P5, P6: 2019-10-31

Summary
Bias-Variance decomposition. Multiclass Classification.
Chapter 5 of the Tutorials booklet.

### Tutorial 8, P1: 2019-11-05; P2, P3: 2019-11-06; P4, P5, P6: 2019-11-07

Summary
Chapter 6 of the Tutorials booklet.

### Tutorial 9, P1: 2019-11-12; P2, P3: 2019-11-13; P4, P5, P6: 2019-11-14

Summary
Feature Selection. Feature Extraction. Vector quantization with K-Mans
Chapter 7 of the Tutorials booklet.

### Tutorial 10, P1: 2019-11-19; P2, P3: 2019-11-20; P4, P5, P6: 2019-11-21

Summary
Comparing clustering algorithms
Chapter 8 of the Tutorials booklet.