jwradhe/TV-Show-recommender
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README.md
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## Project Overview
The **TV-Show Recommender** is a machine learning-based program that suggests TV shows to users based on their preferences. The system uses **Nearest Neighbors (NN)** and **K-Nearest Neighbors (K-NN)** algorithms with **cosine distance** to recommend TV shows. Users provide a title of a TV show they like, and the system returns personalized recommendations based on similarity to other TV shows in the dataset.
The **TV-Show Recommender** is a machine learning-based program that suggests TV shows to users based on their preferences. The system uses **Nearest Neighbors (NN)** and **K-Nearest Neighbors (K-NN)** algorithms with **cosine distance** to recommend TV shows. Users provide a title of a TV show they like, and the system returns recommendations based on similarity to other TV shows in the dataset.
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requirements.txt Normal file
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Flask==3.0.1
numpy==1.26.4
pandas==2.2.0
scikit-learn==1.4.1.post1
scipy==1.12.0
sentence-transformers==3.2.1
textwrap3==0.9.0