Outline

This Repository is for all assignments of Group 8 of the Course Computational Social Science in 2024 Spring.

Homework Assignments 1

The assignment should be finished in the procedure in 3-fold: (1) preparation; (2) first successful submission on Kaggle; and (3) performance improvement.

Preparation

• Familiarize with Kaggle.
• Understand how GitHub and especially how GitHub branches work. This is important because 40% grade depends on the performance improvement progress shown on GitHub.
• Decision to use R and Rmarkdown for documentation (Decided on March 8th, 2024).

First successful submission on Kaggle

• Regardless of performance, we first need to build a simple model that can load the data, run without bugs, and do some predictions.
• Finish this section no later than March 15th, 2024.
• First model built on Mar 11th, 2024
• First successful submission to Kaggle done on March 12th, 2024

Performance improvement

• Need to ask the course teaching team on the setting of the performance competition on Kaggle. Previous years' example on Kaggle could be found here.
• We need to do some testing, experiment, exploration, with the use of different methods, different parameters, and different split of the data to achieve the best results gradually.
• The key points here are not just the coding, but also the correct usage of GitHub branches.
• Due on March 24th, 2024.

Literature review and presentation

To be updated

Final Paper/Project

To be updated