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GitHub / kapilthakre / Recommendation-System
Building a movie recommendation System using three way, Popularity based recommendation system, Content based recommendation system, Collaborative filtering based recommendation system.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kapilthakre%2FRecommendation-System
Stars: 3
Forks: 2
Open Issues: 6
License: None
Language: Jupyter Notebook
Repo Size: 8.77 MB
Dependencies:
50
Created: almost 4 years ago
Updated: almost 2 years ago
Last pushed: over 1 year ago
Last synced: over 1 year ago
Topics: collaborative-filtering, content-based-recommendation, flask, movie-recommendation, movie-recommendation-system, nlp
Files
Dependencies
- Flask ==1.1.2
- Flask-Cors ==3.0.9
- Jinja2 ==2.11.2
- MarkupSafe ==1.1.1
- Werkzeug ==1.0.1
- certifi ==2020.12.5
- chardet ==3.0.4
- click ==7.1.2
- gunicorn ==20.0.4
- idna ==2.10
- itsdangerous ==1.1.0
- joblib ==0.17.0
- numpy ==1.19.3
- pandas ==1.1.5
- python-dateutil ==2.8.1
- pytz ==2020.4
- requests ==2.25.0
- scikit-learn ==0.23.2
- scipy ==1.5.4
- six ==1.15.0
- threadpoolctl ==2.1.0
- tmdbsimple ==2.7.0
- tmdbv3api ==0.4
- urllib3 ==1.26.2
- wincertstore ==0.2
- Flask ==1.1.2
- Flask-Cors ==3.0.9
- Jinja2 ==2.11.2
- MarkupSafe ==1.1.1
- Werkzeug ==1.0.1
- certifi ==2020.12.5
- chardet ==3.0.4
- click ==7.1.2
- gunicorn ==20.0.4
- idna ==2.10
- itsdangerous ==1.1.0
- joblib ==0.17.0
- numpy ==1.19.3
- pandas ==1.1.5
- python-dateutil ==2.8.1
- pytz ==2020.4
- requests ==2.25.0
- scikit-learn ==0.23.2
- scipy ==1.5.4
- six ==1.15.0
- threadpoolctl ==2.1.0
- tmdbsimple ==2.7.0
- tmdbv3api ==0.4
- urllib3 ==1.26.2
- wincertstore ==0.2