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similarity-matrix

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Movie Recommender System leverages a content-based approach, suggesting films to users based on the attributes of movies they have previously enjoyed. By analyzing movie metadata such as genre, cast, director, keywords, etc., this project offers personalized recommendations aligned with users' cinematic tastes.

  • Updated Apr 24, 2024
  • Jupyter Notebook

REPeating Pattern Extraction Technique (REPET) in Matlab for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, REPET-SIM online

  • Updated Feb 16, 2024
  • Jupyter Notebook

Contains the implementation of the Apriori Algorithm on French Retail Store dataset and the conclusion and suggestions to increase the profits from analysis.

  • Updated Jun 11, 2023
  • Jupyter Notebook

Using digital form of the actual scripts of the 'Star Trek' science fiction series to perform interesting NLP tasks and answering some questions on Topic Modelling, Character properties and the plot as a whole.

  • Updated Oct 25, 2022
  • Jupyter Notebook

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