View profile

🔵 Feature Engineering

Machine Learning & Art
Machine Learning & Art
“Often for structured data problems we end up using multiple libraries for preprocessing or feature engineering. We can go as far as having a full ML training pipeline using different libraries for example Pandas for reading data and also feature engineeering, sklearn for encoding features for example OneHot encoding and Normalization. ”

Feature Engineering using Keras Lambda Layers for complete training pipeline.
End-to-End Machine Learning Workflow
Join Us — Become a Member
Members receive the following benefits:
  • promotion in our newsletters
  •  TOP PLACEMENT 
  • We promote our Members on social media (500K+)
Don’t miss out on the other issues by Machine Learning & Art
Did you enjoy this issue? Yes No
Machine Learning & Art
Machine Learning & Art @Mlearning_ai

Be sure to SUBSCRIBE 🟠 here to never miss another article on AI , data art and machine learning.

AI is everywhere 🔵 But the question is, how much do you love it?

You can manage your subscription here.
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
Created with Revue by Twitter.