Function for calculating the Jaccard index and Jaccard distance for binary attributes
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Updated
Sep 15, 2017 - R
Function for calculating the Jaccard index and Jaccard distance for binary attributes
Testing Jaccard similarity and Cosine similarity techniques to calculate the similarity between two questions.
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
Pipeline that learns and recognize thematics
Fast Jaccard similarity search for abstract sets (documents, products, users, etc.) using MinHashing and Locality Sensitve Hashing
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.
We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.
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)
Using Spark In Python For Movie Similarities With Jaccard Index
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.
Machine Learning with Python
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
Different clustering and clustering metrics are implemented in this repository
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.
An R script that uses MACCS166 chemical fingerprint and calculates Jaccard Index/Tanimoto Coefficient for a list of Aspartate Racemase Ligands
Breast ultrasound (BUS) image segmentation using region-growing algorithm
The Dice Coefficient Is Scale Sensitive, Mathematical Proof.
This project aims to predict liver disease in Indian patients
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