clustering movie data from imdb issue #153 #156
Merged
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#153
[clustering movie data from imdb issue]
Description
1.We scrape IMDb data including movie titles, ratings, and summaries using BeautifulSoup
2.We use TF-IDF vectorization to convert the movie summaries into numerical feature vectors.
3.We apply K-means clustering to group the movies into clusters based on their summaries.
4.We use PCA for dimensionality reduction to visualize the clusters in a 2D space.
Type of PR
Checklist:
Co-authored-by: Mercia Jeno [email protected]
Co-authored-by: Bhakti Kalyankasture [email protected]