Statistics is a command line tool for computing distance and data normalization

Raku package for the computation of various distance functions.

This Machine learning powered Recommendation Engine suggests Movies for a user based on the user's past intrests by content based filtering. In this ML model the attributes of movies like genres , cast , director , description are taken into consideration while being converted into vector format. The cosine distance is found between the vectors …

Knowledge extraction through Data Analysis, including Locality Sensitive Hashing (LSH).

Deep Neural Net For Finding Similar Images With Hyperparameter Optimization + AWS And Azure GPU Capabilities

An academic project to find the most similar image to the given input image, based on Image Processing, Cosine Similarity Model, StreamLit, written primarily in Python using Visual Studio Code and Jupyter Notebook

Fast pairwise cosine distance calculation and numba accelerated evolutionary matrix subset extraction 🍐🚀

Implemented various spellcheck techniques like cosine similarity, jaccard similarity and levenshtein distance. Open to any further contributions.

Intrusion Detection System and Serbian family relationships

IR implemented by using TF-IDF method

This repo contains the movie recommender system which uses vectorization, cosine similarity distance methods to calculate the most similar content based on movie tags/info.

Image Recommendation system for different users using Collaborative Filtering.

Big data homework solutions

Système de recommandation

The purpose of this project is to connect an ontology(from Protégé) to RStudio and retrieve the details of each class of the ontology on which we have analysed and retrived 5 keywords for each class using tf–idf and also calculate the page rank based on a query search using cosine distance.

TextComparsionBot in Telegram

Looking for utterance misclassification using edit distance and cosine similarity