This XLab repository contains variety of example notebooks to explore on recommendation systems, including,
- Movielens: Collaborative Filtering using scikit-learn
- LastFM: Collaborative Filtering using implicit feedback
- H&M: explore Kaggle dataset of H&M sales, make the collaborative filtering based on similar users, content-based recommendation from product images
Lab | Github | Google colab |
---|---|---|
00 intro to sparse matrix |
00 github | |
01 matrix factorization movielens |
01 github | |
02 collaborative filtering lastfm |
02 github | |
03 pandas for simple data exploration |
03 github | |
04 collaborative filtering memory-based |
04 github | |
05 CLIP image search |
05 github |
Lab | Github | Google colab |
---|---|---|
00 intro to sparse matrix |
00 solution github | |
01 matrix factorization movielens |
01 solution github | |
02 collaborative filtering lastfm |
02 solution github | |
03 pandas for simple data exploration |
03 solution github | |
04 collaborative filtering memory-based |
04 solution github | |
05 CLIP image search |
05 solution github | |
06 Pre-trained CLIP image search |
06 solution github |
Github | Google colab |
---|---|
Homework Template |