Institute of Computer Science
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  3. Introduction to Data Science (LTAT.02.002)
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Introduction to Data Science 2019/20 fall

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  • Projects from 2018
  • Call for Data
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Weekly homeworks

Deadline for homework submission is at noon (12:00) every Monday!

  • Grades: Pseudonymised grades
  • Homework and practice session information

Homework submission

Your individually solved homework should be submitted here below.

NB! Please submit only the notebook file with the extension .ipynb without compression. We will run your code in a folder which contains all the required additional files.

NB! Please make sure you restart the kernel and run all cells in the notebook as the last thing before submitting.

Install Jupyter Notebook

Before the first practice session please install Anaconda with Python version 3. After installation, make sure you are able to run Jupyter notebook. Windows users open Anaconda prompt, other users just run a command jupyter notebook.

For help see tutorials

HW01. Introduction and first look at the data. Deadline: Monday, Sept 23, at noon (12:00)

Homework 1 tasks

HW02. Exploration of the data. Deadline: Monday, Sept 30, at noon (12:00)

Homework 2 tasks

HW03. Frequent pattern mining. Deadline: Monday, Oct 7, at noon (12:00)

Homework 3 tasks

HW04. Clustering. Deadline: Monday, Oct 14, at noon (12:00)

Homework 4 tasks

HW05. Machine learning I. Deadline: Monday, Oct 21, at noon (12:00)

Homework 5 tasks

HW06. Machine learning II. Deadline: Monday, Oct 28, at noon (12:00)

Homework 6 tasks

HW07. Machine learning III. Deadline: Monday, Nov 4, at noon (12:00)

Homework 7 tasks

Introductory slide of your project topic. See the project information slides for instructions. Deadline: Monday, Nov 11, at noon (12:00)

HW08. Machine learning IV. Deadline: Monday, Nov 18, at noon (12:00)

Homework 8 tasks

HW09. Computational statistics. Deadline: Monday, Nov 25, at noon (12:00)

Homework 9 tasks

HW10. First steps of the project. Deadline: Monday, Dec 2, at noon (12:00)

Homework 10 - First steps of the project

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