Institute of Computer Science
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  2. 2017/18 spring
  3. Machine Learning (MTAT.03.227)
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Machine Learning 2017/18 spring

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Before the practice sessions

Homework and test points are in here

Please install Anaconda with Python version 3. You are allowed to use Python 2, but we cannot promise that everything we plan to do will be supported there. After installation make sure you are able to run jupyter notebook. Windows users open Anaconda prompt, other users just run from command line jupyter notebook. This should open a tab in your browser with your folder system. Go to a folder where you want your notebooks to be and create a new notebook by choosing New -> Python (from top right). After the notebook is open type in some commands like

import pandas as pd
import numpy as np
import sklearn

print("hello")

and press SHIFT + ENTER. If everything works then you are ready for the practice session. If some of the packages cannot be imported run conda install package-name to install the necessary packages.

If you have problems with this then write to the course forum in Piazza already before the session!

Homework deadlines

HW1 (deadline March 1, 10:15)

HW2 (deadline March 15, 10:15)

Test 1 (March 20)

HW3 (deadline April 5, 10:15)

HW4 (deadline April 19, 10:15)

Test 2 (April 24)

HW5 part 1 (deadline May 17, 10:15)

HW5 part 2 - Kaggle competition

Kaggle prediction submission deadline: May 28, 23:59 UTC (note that the time-zone is not the local timezone!))

Homework submission deadline: May 31, 10:15 (Estonian time)

Note that 10 best teams can get bonus points if presenting in the practice session (see details at https://piazza.com/class/jdk65208qi22al?cid=78)

HW6 (deadline May 31, 10:15)

Test 3 (June 5)

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  • Faculty of Science and Technology
  • University of Tartu
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