focus on Machine Learning - Matrix Factorization and a Hybrid Recommendation Method (CB Filtering)
are private
Full Stack Application:
Java (Retrofit2, Object Oriented Programming, Design Patterns, YouTube API, Facebook API etc.)
JavaScript (NodeJS, Express, MongoDB, Mongoose, mLab etc.)
Back End:
Python (Flask, IBM Watson, Pymongo, NumPay, Jupyter Notebook etc.)
Developed using with IPython
API List: ESPN, Newsapi, Fox Sports, SPORTbible
IDE:
Android Studio
WebStorm
PyCharm
Environments:
Windows and Linux (Remote Ubuntu Server with external GPU)
We run weekly sprints (Scrum Method) under our Supervisor Dr. Eliav Menachi and we used with Slack to communicate
https://play.google.com/store/apps/details?id=com.gal.galbenevgi.likeitapplicationfrontend
https://youtu.be/jb1g7rWkSZQ
https://www.youtube.com/watch?v=iMq_VM7bmjA
http://snack.to/bhjs6pkx?UA_PHPSESSID=scf2ncvlplu9g1s8qv5353rau5
Bar Shmerling
Gal Ben-Evgi
Gal Malca
Moran Hazom