Final Feedback #4
Description
Michelle - NYC Schools
Great topic. With a 12 year old, my wife and I are talking about education all the time.
Overall very clearly presented. I was able to follow the flow and got sucked in . I forgot I was suppose to be commenting.
After I looked over the slides I was able to follow the workbooks well. Most code was commented enough to easily figure it out, but another pass through with a few more comments, some section headings with the mark-up and a little intro would be good.
The modeling and conclusions could use some more, but I’m assuming you are still modeling away.
I’d like to know more about the SQR reports. Explain what the College readiness score means and where it came. Make sure we know the reports summarize the individual students, that you aren’t dealing with students.
For background it would be interesting to see if the rates have changed over time. How far back can you easily get?
I saw you were using the old Plot_learning_curve code. Masons new Draw_learning_curve makes things neater.
“from sk_modelcurves.learning_curve import draw_learning_curve”
But the parameters are a little different, so don’t bother now.
You took on a lot with all the data you retrieved. Probably more work than you expected. Starting out with less may have given you more time for other parts, but now you have it all. It would be great if you could continue working on this. Education is a complex thing. (That’s why you had so many features.)
Good Work.
PS I’m going to steal your heat_map code. Also picked up a couple of coding tricks, so thanks.