In-class Activities Policy
- You should submit your own solutions to the in-class exercises, even though you work as groups in class;
- You are allowed to miss two in-class activities without penalty.
- The grade will be evaluated based on completeness and correctness and as “success or fail”. You will get a score of 1 if you succeed and 0 if you fail.
# 14 In-class Activities: Association Rules Using Python [Due by 11:59 pm on 4/18]
- In-Class Exercise #14 – Association Rules Using Python
- ICA14_AssociationRule.ipynb
- newBankRecords.csv
# 13 In-class Activities: Computing Support, Confidence, and Lift [Due by 11:59 pm on 4/16]
# 12 In-class Activities: Clustering in Python [Due by 11:59 pm on 4/11]
# 11 In-class Activities: Decision Trees in Python [Due by 11:59 pm on 4/4]
- In-Class Exercise #11 –Decision Trees in Python / Answer Sheet
- ICA11_Decision_tree.ipynb
- OrganicsPurchase.csv
# 10 In-class Activities: Data Visualization [Due by 11:59 pm on 3/19]
- In-Class Exercise #10 – Data Visualization Principles
- In-Class Exercise #10 – Food-Emporium Dashboard.xlsx
# 9 In-class Activities: Working with Pandas in Python [Due by 11:59 pm on 3/14]
- In-Class Exercise #9 – Pandas in Python
- In-Class Exercise #9 – NYC_Restaurant_Inspection.csv
- In-Class Exercise #9 – NBA14Salaries.csv
# 8 In-class Activities: Working with JSON in Python [Due by 11:59 pm on 2/29]
# 7 In-class Activities: Python Data Structures [Due by 11:59 pm on 2/27]
# 6 In-class Activities: Python Basics Data Types [Due by 11:59 pm on 2/22]
# 5 In-class Activities: Semi-structured Data [Due by 11:59 pm on 2/20]
# 4 In-class Activities: SQL Part 2 [Due by 11:59 pm on 2/8]
# 3 In-class Activities: SQL Part 1 [Due by 11:59 pm on 2/1]
# 2 In-class Activities: SQL Pen and Paper [Due by 11:59 pm on 1/30]
# 1 In-class Activities: Creating Schemas [Due by 11:59 pm on 1/25]