gouravaich/k-means-clustering-movie-ratings
Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.
Jupyter NotebookMIT
Stargazers
- chenmingxia
- DataTrav
- Deepak6438
- ekohnomics
- fariliangStarfield AI
- fauzan1892Codekop Developer
- ginozaso
- gnepuhseh
- Harleen25
- ifty500
- jennyhwei04
- kadiraskin
- Ma2Ri2aLTechnip Energies
- makafanpeterBetter Byte Technologies
- Mudkipboo
- nick-benelli
- pankajmahtolia
- pernov
- puturangga21Bali
- razoltherenGirlScript Foundation
- renukamulay
- Rithwik2206
- robikurniawanIndonesia
- sergunow
- shanekim
- shreyash-lokhande
- SopkM8Ym
- SudharBalajiTamilNadu
- wadeedmadni
- WeyinmiAHouston, TX
- wyq2016415685