A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
An interactive web application for comparing entities using the pairwise comparison method
An interactive Shiny App for UpSet plots, Venn diagrams and Pairwise heatmaps
Fast, large scale library for computing rankings and features based on various pairwise and graph algorithms
Derives a ranking from pairwise comparisons
An easy to use Amazon Recommendation System using Cosine Similarity.
An Evaluation Dataset for Crowdsourced Pairwise Comparisons
Code for "Learning the Relation Between Mobile Encounters and Web Traffic Patterns: A Data-driven Study" MSWiM 2018 (ACM: https://dl.acm.org/citation.cfm?id=3242137, Tech Report: https://arxiv.org/abs/1808.03842)
Sampling algorithm for best-worst scaling sets.
Analysis of Swiss-system tournaments
[CRBHits](https://github.com/kullrich/CRBHits) is a reimplementation of the Conditional Reciprocal Best Hit algorithm [crb-blast](https://github.com/cboursnell/crb-blast) in R.
ez-rate provides an easy method to a pairwise A/B comparison of images
The simple app of pairwise comparison for image data.
Pairwise sample similarity (cosine) between records.
A web application to rate texts using pairwise comparison.
For this Project, I first applied an analysis of variance (ANOVA) model to the Pymaceutical dataset and then did a post-hoc analysis of the results by using Tukey Honest Significant Difference (HSD) to determine which drug treatments in the dataset significantly reduce tumor volume and metastasis. I then wrote a summary of my findings.
Very detailed exploratory data analysis is executed on the dataset. Univariate and bivariate analysis using ANOVA and Chi-Squared Test between continuous and categorical variables are explored to find out the relationship between input variables and the output target 'revenue'.
Capstone project for General Assembly's Data Science Immersive Program
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