Compression algorithm based kernel perceptron using Jaccard's similitary

League of Legends Champion Recommender System

This project aims to reduce string redundancy by utilizing some of the string similarity concepts of NLP .

👯 Algorithms using Jaccard similarity to identify questions from a list that are similar to one another

Flask app to find similar movies using Jaccard similarity

Regional Wine Prediction using KNN and Similarity Indices

Measures the similarity between documents by calculating Jaccard similarity between documents and provide a similarity score based on how similar the sentences are compared to each other

Explored Jaccard distance, Min-Hashing, and LSH for user similarity in a movie rating dataset. Tasks involve dataset preprocessing, exact Jaccard Similarity computation, Min-Hash signatures, and LSH implementation. Results and observations are documented in code, output files, and a report

This project is implemented to check the similarity between sentences and provide a similarity score based on how similar the sentences are compared to each other.

This repository contains various classification, clustering and data analysis code.

Community Detection and Link Predication in Python

This work is for my thesis. This paper is published on I-IKM-2019

A movie recommendation engine built with python and a Qt GUI.

IMDB Movie Recommendation Engine. Uses jaccard similarity of genres, and title similarity

(WIP) HTTP server that deploy distributes Vokter (https://github.com/vokter/vokter) through a REST API.

Collection of string metric algorithms in OCaml

This project uses a few different classification algorithms to try and predict customer loan default status. The following algorithms are tested: (1) K-Nearest-Neighbors (2) Decision Trees (3) Support Vector Machines (4) Logistic Regression (5) Gradient Boosting Classifier