Weekly Challenges

acrahen · ‎04-20-2020

Yuck on this challenge!

tiffanyshaw · ‎04-28-2020

Whoa, total DS newbie here. I definitely need to learn more about using the predictive tools.

I played around with using different modeling tools... but I wouldn't have survived without everyone's solutions and online "lit review."

Spoiler

This was a cool practice - I don't understand the foundations of why we use certain models, but here's my train of thoughts:

I saw that both a Forest Model and Boosted Model produced Variable Importance Plots. However, the Boosted Model plot didn't have F_38 in its Top 10, so I went with a Forest Model.

With the Forest Model, I went with Logistic Regression because a Linear Regressions didn't allow me to select H0 as a target variable.

tldr: This was definitely a total newbie blind tool grasping/process of elimination challenge for me. 😛

This was a cool practice - I don't understand the foundations of why we use certain models, but here's my train of thoughts:I saw that both a Forest Model and Boosted Model produced Variable Importance Plots. However, the Boosted Model plot didn't have F_38 in its Top 10, so I went with a Forest Model.With the Forest Model, I went with Logistic Regression because a Linear Regressions didn't allow me to select H0 as a target variable. tldr: This was definitely a total newbie blind tool grasping/process of elimination challenge for me.

balajilolla · ‎05-10-2020

Spoiler

Solution Attached

Jean-Balteryx · ‎07-10-2020

Here is my solution !

JennyMartin · ‎08-27-2020

Spoiler

A lot of googling for this challenge!

AngelosPachis · ‎09-14-2020

Definitely I have to come back to this one. Couldn't find anything in the community on how to estimate the chi-sq effect apart from the contingency table tool. Then I looked at the solution and found out about the Nested Test tool, but still I have some studying to do here