Fundamental Concepts of Machine Learning with an Example in Python

This video covers fundamental concepts and key terminology in machine learning such as:
1. Loading and managing data
2. Feature engineering
3. Cross Validation
4. Model training/fitting
5. Model accuracy
6. Plotting data & error analysis
The dataset I use as an example is here: archive.ics.uc...

[@BergenLilleskare]

I am learn! Much enjoy machine learn!

[@calebjackson2428]

As I embarked on the epic journey of your latest UA-cam masterpiece, 'The Fundamental Concepts of Machine Learning,' I couldn't help but marvel at the extraordinary way you manage to make complex algorithms seem as approachable as a slice of homemade apple pie. Your video was so clear, I'm pretty sure my cat now understands machine learning - and she's only mastered opening doors so far.
I was truly enthralled by this absolutely beautiful piece of art. No man on this planet could have explained such topics any better than you did.

[@csdoctorr2330]

It is nice to meet you calebjackson2428 and I appreciate the sincere, heart-felt comment. It is why I make these videos