The amateur’s guide to explore Recommendation-Systems

HELLO THERE !!!

Welcome.

This doc is my exploration of Recommendation-Systems that I am developing as I am learning.

email	nishantbaheti.it19@gmail.com
github	https://www.github.com/nishantbaheti
linkedin	https://www.linkedin.com/in/nishantbaheti/

If I haven’t mentioned your work’s reference correctly, please let me know. I am more than happy to correct the situation.

Contents:

• Recommendation Systems

Algorithms

• Singular Value Decomposition
• Alternating Least Squares
• Weighted Alternating Least Squares (WALS)

Content Based

• Basic Content Based Recommendation
• Building Reco system with movie data
• Content Based Recommendations using DNN

Collaborative Filtering

• Basic Collaborative Filtering Method (Nearest Neighbors Clustering)

Additional Docs

• Machine Learning Exploration
• Neural Network Doc
• NLP Doc
• mightypy
• graphpkg

Indices and tables

• Index

• Module Index

• Search Page