Systematically learn and evaluate manifolds from high-dimensional data

Official implementation of the ACL 2024: Scientific Inspiration Machines Optimized for Novelty

AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach

This is the official repository for HypoGeniC (Hypothesis Generation in Context), which is an automated, data-driven tool that leverages large language models to generate hypothesis for open-domain research. For more details, please see the original paper using the link below.

Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB

A open source Literature Based Discovery system, using Groovy & Grails, including a re-implementation of the Arrowsmith algorithm(s)

A Python library for creating and exploring structured review articles.

Workflow to generate interactive html feature selection report for longitudinal and cross-sectional microbiome studies

Case Studies & Problems based on Data Science Lifecycle Framework - Problem Formulation, Hypothesis Building, Data Extraction and Cleaning, Data Modeling and Post Modeling

Predict Loan Eligibility for a Finance company

Analysis of the operator's efficiency in a virtual communication company.

The project involved investigating a decline in sales pipeline conversion at TechnoServe, a tech SaaS startup, and developing hypotheses for the underlying causes. Through data analysis, potential solutions were identified to improve the conversion rate and address the issue.

Machine Learning Algorithm to predict the House prices.

By integrating geographical data analysis and statistical modeling, CTCA aims to inform strategies for reducing crash rates and enhancing road safety. This initiative combines innovative data processing techniques with advanced analytics to offer actionable recommendations for policymakers, urban planners, and public safety organizations.