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

Raku package for the computation of various distance functions.

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 🍐🚀

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

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 …

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

In this repository, we have implemented the CNN based recommendation system for finding similar products.

wordvector demonstration with spacy.

This intelligent movie recommend system works on an advance machine learning model which learns the taste of a perticular user by collecting relevant data of his/her recently watched movies.