Laboratories Documents

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Documents from tutorials will be posted on this page.

Lab 1: Introduction - Jan 19

• Code for lab 1 (without exercise solutions)

• Code for lab 1 (with exercise solutions)

• Recording

The password for the lab recordings is the same as for the lectures.

Lab 2: EDA - Jan 26

• Cars dataset

• Code for lab 2 (without exercise solutions)

• Code for lab 2 (with exercise solutions)

• Recording

Lab 3: GitHub and Linear Regression - Feb 2

• GitHub repo for Lab 3

• Code for lab 3 (without exercise solutions)

• Code for lab 3 (with exercise solutions)

• Recording

Lab 4: Introduction to Git Bash - Feb 9

• Slides

• Recording

Lab 5: Simulation - Feb 16

• Code for lab 5 (without exercise solutions)

• Code for lab 5 (with exercise solutions)

• Recording

Lab 6: Numpy and Scikit-Learn - March 2

• GitHub repo for Lab 6

• Code with solutions (Numpy)

• Code with solutions (Scikit-Learn)

Lab 7: NLP intro and Twitter API - March 9

• GitHub repo for Lab 7

• Code with solutions for NLP intro

• Recording

Lab 8: Predictive Performance - March 16

• GitHub repo for Lab 8

• Code for lab 8

• Code for lab 8 with solutions

• Recording

Lab 9: Clustering - March 23

• Slides (k-means clustering)

• GitHub repo for Lab 9

• Code for lab 9

• Code for lab 9 with solutions

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