isabellehp
commented
2 months ago Completion:
- [x] Collections
- [x] Lists/Dictionaries
- [x] APIs/JSON
- [x] Frontend
SQLite Databases: Score: 3/3 Grade: 0.90/1 Great setting up of SQLite databases. However, their explanations lack depth
Lists and Dictionaries: Score: 3/3 Grade: 0.90/1 Uses debugger to exhibit both lists and dictionaries in their code, fulfilling all criteria.
APIs and JSON: Score: 5/7 Grade: 0.85/1 demonstrated use of Postman in their code. Lack of UPDATE functionality and the cluttered presentation in their write-up
Frontend: Score: 7/8 Grade: 0.90/1 frontend was well-organized, and their write-up showcased how the frontend database. Additionally, their JavaScript code effectively formatted response data. there could be improvement in the write-up to demonstrate a deeper understanding.
ML Algorithm Analysis: Score: 5/5 Grade: 0.90/1 Effectively illustrated this process in their write-up, indicating understanding. However, incorporating visuals could enhance the illustration of their grasp of machine learning algorithms.
Overall Scores: Regular Score: 3.6/4 Extra ML: 0.90/1
Write Up | CompSci Blogs
For this project, I have created a database called hotlines that stores the data for the numbers and names of hotlines. I have also added columns to the user database.
https://hanr12.github.io/han3/2024/04/22/writeup_IPYNB2.html