Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/sreekar0101/-movie-recommendation-system-using-python
The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice
https://github.com/sreekar0101/-movie-recommendation-system-using-python
data-analysis data-visualization numpy-library pandas-dataframe scikit-learn seaborn-python
Last synced: 26 days ago
JSON representation
The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice
- Host: GitHub
- URL: https://github.com/sreekar0101/-movie-recommendation-system-using-python
- Owner: sreekar0101
- Created: 2024-09-05T18:29:02.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-09-06T06:52:17.000Z (2 months ago)
- Last Synced: 2024-10-13T03:22:16.532Z (26 days ago)
- Topics: data-analysis, data-visualization, numpy-library, pandas-dataframe, scikit-learn, seaborn-python
- Language: Jupyter Notebook
- Homepage: https://github.com/sreekar0101/-Movie-recommendation-system-using-python/blob/main/Movies%20Recommendation%20System.ipynb
- Size: 1.87 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Movie Recommendation System using Python
Developed a movie recommendation system by performing extensive data analysis on large movie and credit datasets. This system achieved a 15% improvement in recommendation accuracy compared to the baseline model by leveraging advanced data cleaning, processing, and predictive modeling techniques.