FAISS is a must for building RAG applications!

Code on github: https://gist.github.com/KostyaCholak/ff450d72f81298589793c3972f945de9

Random Forest Classifier in 5 steps using scikit-learn:

1. Import the libraries
2. Load the dataset
3. Create features (X) and target (y)
4. Initialize the model
5. Fit the model to the data

Check out the code on GitHub

Read more in my blog:
https://kostyanuman.substack.com/

7 timeless concepts every ML engineer should know:

- data formats (JSON, row-major vs column-major)
- data models (relational vs NoSQL)
- class imbalance
- L1 and L2 regularization
- precision, recall, F1-score, and ROC-AUC
- data drift vs model drift
- model and data versioning

AI in healthcare is projected to grow 20x this year.
I prepared a list of main directions in AI for healthcare for you to keep an eye on: www.linkedin.com/posts/kostya...