Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

Watershed, Canny and Mask R-CNN based rooftop volume computation from scaled satellite images. This is similar to Google's SunRoof project.

Software-based rationalia. A structured "Wikipedia for arguments" leveraging collective intelligence to automate enlightenment, conflict resolution, and cost-benefit analysis. This platform revolutionizes political and societal debates through logical ranking, pro/con organization, and rigorous, systemic evaluation frameworks and sustainable logic.

Inclusive and Comprehensive Livestock Environmental Assessment for Improved Nutrition, a Secured Environment, and Sustainable Development along Livestock Value Chains

Predict churning or not from the real-world data of a ridesharing app

nka verktøy for uu-tiltak i kollektivtrafikken

In summary, the project performs the following action: based on the data provided by the user, it checks which pet shop offers the best cost-benefit ratio for the client.

An event website is curious to know how can we use Machine Learning to predict an event posted live is a fraud or not.

This repository contains an advanced Excel-VBA driven financial analysis tool to evaluate **annealing line investment** improving **narrow-width coil processing** in a steel manufacturing facility

Data Science Case Study

A Python-based DSM Program Calculator compliant with the 2022 IESO Cost Effectiveness Guide (TRC & PAC Tests).

URBADAPT-HEAT v1.0: a scalable geospatial framework for city-level public-private adaptation infrastructure cost-benefit analysis and its urban heat risk implementation

Kaggle Competition: Predictions of West Nile Virus outbreaks in the City of Chicago.

ML-based system to detect fraudulent credit card transactions with cost-benefit analysis.

Methods for estimating sources of BCR change via decomposition into change in benefits and change in costs.

A decision-support tool that helps a company answer the biggest question in AI adoptions: Is it actually paying off

Multivariate cost-performance optimization of paper plane dynamics. Factorial ANOVA study in R to balance material costs with flight duration

This project covers a critical analysis of existing subscribers in a daily newspaper company. The dataset adopted for use in this report, comprises of personal information of the company’s digital subscribers. The newspaper company is perceived to be a market leader but has been faced with the challenge of customer retention. The company is ther…