Similarity between bank customers and nearest neighbors
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Updated
Apr 12, 2020 - R
Similarity between bank customers and nearest neighbors
Python tool for generating similarity matrices from basic block vectors
Implementation of the paper "Adapting Deep Network Features to Capture Psychological Representations"
Machine learning / Deep learning / Data analysis notebooks, tools and scripts for learning purpose.
Contains the implementation of the Apriori Algorithm on French Retail Store dataset and the conclusion and suggestions to increase the profits from analysis.
A machine learning database that allows users to search for films of their choosing. Users have the ability to filter results by female-directed films, low-budget films, and foreign films.
Project for helping brother in finding duplicates in his photos directory.
Recommendation system to predict movie rating given by user on Netflix.
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.
This repo contains project(s) from the Marketing Analytics course.
Movie Recommender System based on co-occurrence matrix/similarity matrix.
Hierarchical Clustering algorithms for Pharo
Large scale sparse similarity calculation with tools for parallelisation and incorporation of hierarchical domain knowledge
This is part of "COMP546: Algorithms Design and Analysis" Course in Koc University. The project was developing an algorithm to achieve dataset reduction by Clustering 3D structures of protein-protein interaction interfaces
Machine Learning - Recommendation System
Discover your next movie night with our Movie Recommender System! Explore personalized movie suggestions based on your preferences, powered by advanced recommendation algorithms.
Personalized Music Recommender using Word2vec and Gower Similarity.
Collaborative and Content based Recommendation System ( POC with additional business logic )
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.
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