Hi, sorry I just saw this in comment moderation – yes it’s MSIM/ECE 607 http://catalog.odu.edu/courses/msim/

I can’t even tweet about it right now because Twitter is down! LOL what happened to the internet?

haha thanks for the positive feedback – glad you liked it!

Thank you for sharing.

Very detailed document, I loved it. For my Capstone Project for the Coursera Data Science Specialization I was limited to 5 pages max for the write-up so I couldn’t go into too much detail which sucked.

If this is what you can do “in a hurry” I can only imagine what you can do if you don’t rush it, hahaha. Very cool project. Congrats on the feedback by your professor.

Oh, and thanks so much for the positive feedback!

Hi Yoly, that’s why I didn’t jump to publish… I need to make sure my features weren’t allowing any “data leakage” or anything. I remember including preferred college, preferred class year (usually their undergrad degree year), years since added to system, years since address updated (if we didn’t have an address for 10 years, then suddenly have it, they may become a donor), age (which isn’t always derivable from class year), and a few other things… When I do revisit it, I’ll blog about it!

Oh actually, I did blog about the first one… haha here’s the link :) Just keep in mind I did this for a hurry for a class project:
https://www.becomingadatascientist.com/2014/05/11/machine-learning-project-4/
https://www.becomingadatascientist.com/2014/05/11/ml-project-4-results/

And here’s the data visualization for exploratory data analysis project I mentioned:
https://www.becomingadatascientist.com/2015/05/10/data-visualization-project/

Renee

You mentioned that for one of your final projects you used a random forest to predict which non-donors would become a first time donor in a given year. I’m curious as to what you used as features for this model, or at least, which data from the members did you have available.

Looking forward to the next episode!