jaccard-index

oertl/treeminhash

TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation

Padhma/Liver-Disease-Prediction

This project aims to predict liver disease in Indian patients

aallam/string-similarity-kotlin

Kotlin multiplatform library offering various algorithms to measure string similarity and distance

rymshasaeed/lesion-segmentation

Breast ultrasound (BUS) image segmentation using region-growing algorithm

micts/jss

Fast Jaccard similarity search for abstract sets (documents, products, users, etc.) using MinHashing and Locality Sensitve Hashing

caterinado/Machine-Learning-with-Python-The-Best-Classifier

Built a classifier to predict whether a loan case will be paid off or not. Used classification algorithms (k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression). Each result is reported with the accuracy of each classifier (Jaccard index, F1-score, LogLoass)

duttaprasanta/clustering

Different clustering and clustering metrics are implemented in this repository

esalini22/gene-hll

HyperLogLog en C++ y OpenMP para cálculo de similitud de genomas mediante índice de Jaccard

Agisthemantobeat/Loan-Repay

We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.

Amirreza-Mousavi/Aspartate_Racemase_Ligands_Simlarity_Score

An R script that uses MACCS166 chemical fingerprint and calculates Jaccard Index/Tanimoto Coefficient for a list of Aspartate Racemase Ligands

cissagatto/jaccard

This code generate partitions for a multilabel dataset using the Jaccard Index similarity measure. We use HCLUST with 6 linkage metrics to generate several partitions. You may build the partition with the highest coefficient. This code also provide an analysis about the partitioning.

fagnercarvalho/QuestionSimilarityTest

Testing Jaccard similarity and Cosine similarity techniques to calculate the similarity between two questions.

faisal-irzal/CC_Fraud_Detector

Implementation of various machine learning techniques to detect credit card frauds based on a given dataset. This repo will guide you through the data analysis, viz and building predictive models

Hassaniftikhar24/LoanData-ML

This project contains the KNN, SVM, Logistic Regression and Decision Tree algorithms applied to a loan data set. Model Evaluation is also presented at the end of this model.

Jonas1312/dice-coefficient-scale-sensitivity-pitfall

The Dice Coefficient Is Scale Sensitive, Mathematical Proof.

m-imani/Classification-methods

load a dataset using Pandas and apply the following classification methods (KNN, Decision Tree, SVM, and Logistic Regression) to find the best one by accuracy evaluation methods (Jaccard, F1-score, LogLoss) for this specific dataset.

MovieTone/JaccardDocumentComparison

Document Comparison web application based on Jaccard Similarity Index. The uploaded file is compared to all previously uploaded ones. Built with Java/JSP

nikoshet/pyspark-movie-similarities

Using Spark In Python For Movie Similarities With Jaccard Index

rekha-kandukuri/CentralisedInformationSystem

A platform for both students and instructors to browse courses in the MOOC world easily. The platform features a recommender system that predicts courses of users preference from past courses, a Student-Instructor Course enrollment and Real-Time Discussion Forum Systems.

xp-song/photo-classify

Classifying images into discrete categories based on keywords generated from the Google Cloud Vision API

youssefelmougy/jaccard-selector

Asynchronous Distributed Actor-based Approach to Jaccard Similarity for Genome Comparisons

devxdebanjan/AutoCorrect

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

Divya-Bhargavi/Kaggle_HomeDepot

Predict search relevance given a product name and its text attributes

elizabethshen/Machine-Learning-Project

Machine Learning with Python

FilobateerEssam/IBM-Machine-Learning-Project

build a classifier to predict whether a loan case will be paid off or not. in loan applications, clean the data, and apply different classification algorithm on the data. use the following algorithms to build your models: k-Nearest Neighbour Decision Tree Support Vector Machine Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index F1-score LogLoass

hbenbel/Thematisation

Pipeline that learns and recognize thematics

Mohith-Kota/Clustering-Techniques-on-Synthetic-Real-World-Data

The objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques

sarodeswapnil/Recommender-for-Social-Network

cissagatto/Generate-Partitions-Jaccard

This code is part of my doctoral research. The aim is to generate partitions from the Jaccard index for multilabel classification.

jas-haria/News-Recommendation-Reliability-Indicator-System

A Google Chrome Extension that estimates the Reliability, Polarity and Subjectivity of any news article on the web. It allows you to like/dislike any article and recommends you articles based on your choices.