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.

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

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

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.

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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).

In this project, we have analyzed, explored and processed the data, developed and evaluated various classification and regression models to provide strategies for high returns with low risk for investors.

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.

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

Pipeline ETL que usa Playwright para scraping de preços de CPU/GPU no Brasil, com análise de custo-benefício em um dashboard Streamlit.

Binary classification of personal loan acceptance using 8 ML models (RF, GBM, SVM, NN, LDA, Elastic Net) with cost-optimised threshold tuning. MSc ASML summative — Durham University.

Production-ready Bayesian screening model — hierarchical ordinal regression to decide whether wearable sensors are worth the cost (Stan, Python, HMC)