Implement Logistic Regression
1. Read the lecture node “logistic.pdf
(https://sit.instructure.com/courses/58571/files/9163242/download?download_frd=1) ”
2. Download the IPython notebook file “Programming1.ipynb
(https://sit.instructure.com/courses/58571/files/9163240/download?download_frd=1) ”.
3. Read, complete, and execute the code.
4. Implement mini-batch SGD and evaluate the performance.
5. Convert the .IPYNB file to .HTML file.
1. The HTML file must contain the code and the output of execution.
2. Missing the output of execution will not be graded.
6. Upload the HTML file to your Google Drive, Dropbox, or your Github repo. (If you submit the file to
Google Drive or Dropbox, you must make the file “open-access.” The delay caused by “deny of
access” may result in a late penalty.)
7. On Canvas, submit the Google Drive/Dropbox/Github link to the HTML file.