Shubham-952 / Movie-Analysis-And-Recommender-System Public

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A comprehensive project that involves analyzing movie datasets to extract insights and trends, coupled with a context-based recommendation system. This system recommends movies based on user preferences and contextual factors. The project includes data preprocessing, exploratory data analysis, and model deployment using Streamlit

shubham-saraswat.framer.website/works/movie-recommendation

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
codes		codes
datasets		datasets
.gitattributes		.gitattributes
README.md		README.md
app.py		app.py
movie_anaylsis.pbix		movie_anaylsis.pbix
movie_list.pkl		movie_list.pkl
requirements.txt		requirements.txt
similarity.pkl		similarity.pkl

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movie-analysis-and-recommender-system

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A comprehensive project that involves analyzing movie datasets to extract insights and trends, coupled with a context-based recommendation system. This system recommends movies based on user preferences and contextual factors. The project includes data preprocessing, exploratory data analysis, and model deployment using Streamlit

shubham-saraswat.framer.website/works/movie-recommendation

python deployment data-visualization data-analysis data-collection data-wrangling powerbi data-cleaning streamlit power-query-editor

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