View profile

Kaggle is now over!

Kaggle is now over!
By Santiago • Issue #26 • View online
My Kaggle competition finished, and I ended in the Top 4% of participants.
That makes me happy!
Overall, I’m definitely looking forward to my next competition, and I’m going to recommend you look into it too.
It was really fun!

I didn't end in any of the first three places, but the image is pretty.
I didn't end in any of the first three places, but the image is pretty.
K-Fold Cross-Validation
Do you know how and when to use Cross-validation?
Here is a quick introduction to it.
2 minutes of your time, and I hope this is clearer than it has ever been.
If your machine learning model sucks, I have an idea for you.

Thread: Quick introduction to k-fold cross-validation and how you can use it.
More than one model
Here is an interesting approach to solving a problem: You start with a dataset, slice it out, and build multiple models for each different slice.
I’ve found that this is especially useful when fairness is a concern.
Here is how you can do it.
What can you do when your machine learning model stops improving?

There's always a point when you hit the ceiling and the performance of the model stalls.

Thread: A couple of tricks to improve your model.
More about that Kaggle competition
In case you are looking for a little bit more information:
I finished my first Kaggle competition and scored in the top 4% of participants.

I learned a few valuable lessons. Here they are: ↓
Did you enjoy this issue?

Every week, I’ll teach you something new about machine learning.

Underfitted is for people looking for a bit less theory and a bit more practicality. There's enough mathematical complexity out there already, and you won't find any here.

Come for a journey as I navigate a space that's becoming more popular than Apollo 13, Area 51, and the lousy sequel of Star Wars combined.

If you don't want these updates anymore, please unsubscribe here.
If you were forwarded this newsletter and you like it, you can subscribe here.
Powered by Revue