GitHub - SaadatRizvi/Movie-Recommendation-System: Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakbanik/the-movies-dataset/data)

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Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakbanik/the-movies-dataset/data)

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
K-Means		K-Means
.gitattributes		.gitattributes
README.txt		README.txt
Report.docx		Report.docx
collaborative-filtering.py		collaborative-filtering.py
content-2.py		content-2.py
content-plotDescription.py		content-plotDescription.py
simpleIMDB.py		simpleIMDB.py
u.item		u.item
u.rar		u.rar

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Read the included Project Report to learn about the details.

Extract u.rar and u.data-raheel.rar(in ./K-Means).

Download the dataset(https://www.kaggle.com/rounakbanik/the-movies-dataset/data) and place it in (./the-movies-dataset/) directory before executing any .py file

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Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakbanik/the-movies-dataset/data)

collaborative-filtering recommender-system content-based-recommendation k-means-clustering