Laboratories Documents

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Documents from tutorials will be posted on this page.

Lab 1: Introduction - Jan 18

• Code for lab 1 (without exercise solutions)

• Code for lab 1 (with exercise solutions)

Lab 2: EDA - Jan 25

• Cars dataset

• Code for lab 2 (without exercise solutions)

• Code for lab 2 (with exercise solutions)

Lab 3: GitHub and Linear Regression - Feb 1

• GitHub repo for Lab 3

• Code for lab 3 (without exercise solutions)

• Code for lab 3 (with exercise solutions)

Lab 4: Introduction to Git Bash - Feb 8

• Slides

Lab 5: Simulation - Feb 15

• Code for lab 5 (without exercise solutions)

Lab 6: Numpy and Scikit-Learn - March 1

• GitHub repo for Lab 6

Lab 7: NLP intro and Twitter API - March 8

• GitHub repo for Lab 7

Lab 8: Predictive Performance - March 15

• GitHub repo for Lab 8

• Code for lab 8

Lab 9: Clustering - March 22

• Slides (k-means clustering)

• GitHub repo for Lab 9

• Code for lab 9