Python for Data Science tutorial notes
Video tutorial on Digital Prototyping for 28th Dec 2020 session
Video tutorial on Digital Prototyping for 31st Dec 2020 session
Digital Prototyping for Data Science notes
Discrete Event Simulation handout
Video tutorial on Discrete Event Simulation for 4th Jan 2020 session
Describe in detail any other data driven design topic not covered in this class and not documented for any other class before. Possibilities include (but are not limited to):
machine learning: Describe a machine learning technique, explain the math behind it and demonstrate it working with an example. Suggest its applications and the other relevant details associated with it.
digital protoptying: Describe a digital prototyping technique to deploy machine learning models. Demonstrate it with a live example.
applications of data science in a domain: This could be a theoretical indepth study of the research done on applying data science in a domain. This could be submitted in the form of a research proposal with the motivation for the study, the literature review of the work done in the area (with proper references) and the research gaps found to be worked on. Be specific on the research questions you propose to study.
Likewise, you could describe in detail how do you work with audio, video or signals for data science applications or how do you combine audio, image and numerical data for data science applications. You could describe a data driven operations research technique and so on.
Please do include screenshots, code and the video of the work wherever applicable. Please describe your work in a way that anyone else reading this assignment of yours learns something new which is non-trivial.
Assignment due on 10th January 2020.