Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.
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Updated
Mar 8, 2018 - Jupyter Notebook
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.
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
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).
Strategy & research impact-driven consulting portfolio across pro bono, socially conscious NGOs and NPOs along with CSR-aligned organisations in association with 180 Degrees Consulting JMI (Vice President at the college Consulting Club), delivering market intelligence, competitive insights, GTM roadmaps, ops-tech enablement, partnerships, and more.
URBADAPT-HEAT v1.0: a scalable geospatial framework for city-level public-private adaptation infrastructure cost-benefit analysis and its urban heat risk implementation
A decision-support tool that helps a company answer the biggest question in AI adoptions: Is it actually paying off
Kaggle Competition: Predictions of West Nile Virus outbreaks in the City of Chicago.
A framework for identifying influential factors in cost-benefit analysis of building-applied photovoltaics systems
Methods for estimating sources of BCR change via decomposition into change in benefits and change in costs.
ML-based system to detect fraudulent credit card transactions with cost-benefit analysis.
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