Go metrics for calculating string similarity and other string utility functions
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Updated
Jul 31, 2024 - Go
Go metrics for calculating string similarity and other string utility functions
TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation
This project aims to predict liver disease in Indian patients
An R script that uses MACCS166 chemical fingerprint and calculates Jaccard Index/Tanimoto Coefficient for a list of Aspartate Racemase Ligands
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
Predict search relevance given a product name and its text attributes
Classifying images into discrete categories based on keywords generated from the Google Cloud Vision API
The objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques
We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.
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.
The Dice Coefficient Is Scale Sensitive, Mathematical Proof.
Pipeline that learns and recognize thematics
Testing Jaccard similarity and Cosine similarity techniques to calculate the similarity between two questions.
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)
Document Comparison web application based on Jaccard Similarity Index. The uploaded file is compared to all previously uploaded ones. Built with Java/JSP
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.
Fast Jaccard similarity search for abstract sets (documents, products, users, etc.) using MinHashing and Locality Sensitve Hashing
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.
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.
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