CS-EJ3211 - Machine Learning with Python D, Lectures, 29.5.2023-17.7.2023

Topic outline

• Grading
  You will be graded based on the points you earn:

  • in the coding assignments from notebook 1 to 6 on https://jupyter.cs.aalto.fi/. Notebook 0 is not graded. 
    
  • ML project

  You can earn maximum 10 points from each notebook, therefore maximum 60 points in total for notebooks (30p min to pass). ML project is 40 points max (20p min to pass). Thus, in total you can earn 100 points.

  Grading done as follows:

  points	Grade
  50-59	1
  60-69	2
  70-79	3
  80-89	4
  90-100	5

  
  Grading ML project
  

  ML project consist of 3 stages. Each stage includes a submission of a report and its peer grading. Max points for Stage 1: submission 5 points + peer-grading 2 points, Stage 2: 6+5 and Stage 3: 14+8. How submission points are computed is described here. Briefly, each grading criteria (question) has grading levels {0,1,2} and corresponding weight. For each grading criteria we compute (grading level given by reviewer/max grading level)*weight of the question, sum all values, divide by sum of weights of all criteria. This gives a score between 0-1. Final points then computed as score*max points for Stage.
  

  Bonus Task: TBA
  
  Note that you have to submit your answer to the official course feedback survey to complete the course. Notebooks' feedback is highly appreciated, but not mandatory.
  
  You can leave grading related questions at Slack channel #grading or send an email to cs-ej3211@aalto.fi.