You are allowed to read all the codes and files, but you are not allowed to copy directly for your assignments!!!!!!! I will not take any responsibility if you break the honor rule.
Please try yourself and have fun working on those interesting projects!
- Course: CS/ECE 498 Data Science and Analytics
- Time: 2019/01/14- 2019/05/12
- Teacher: Ravishankar K. Iyer (Good Professor and this course's structure really impressed me. With MPs, HWs, in class activities and projects, I could really learn things useful. This semester, I'm working as data analytics in John Deere, and I found this course really helps me a lot. Good course, strongly recommend. BTW, got highest score in midterm lol. But one thing I don't like is that the professor speaks too slowly and upload slides after class. I prefer to take notes on slider during class. Thus, I like to watch echo360 after course time.)
- Python + Jupyter Notebook
- See each program/homework under different folders. I will not upload any resources from professor, I will only upload my work including homework, source code and related notes. If you find anything I should not open source, please email me.
- MP1: Autonomous Vehicle Safety Analysis
- MP2: Unsupervised Single‑Cell Analysis in Triple‑Negative Breast Cancer
- HW0: Basic Probability Review Problems
- HW1: Pandas
- HW2
- HW3
- HW4
- HW5
- All codes and notes will be open source after my final test (in case of copy)
- You are allowed to read all the codes and files, but you are not allowed to copy directly for your assignments.
- If you have any problems or ideas want to share with me, please feel free to e-mail to me: layla.laisy@gmail.com