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How can we predict renewable energy investments for all given states? After filtering out MSN's that were duplicates and training a regression model, we obtained good results from a simple model.
We are creating machine learning models to solve the Chevron Challenge.
Using Data Science Techniques to Visualize Targeted Campaigning in Select Harris County Precincts
We explore data deeper than the eyes can see
A platform for stakeholders to analyse and mitigate any demand shocks caused by seasonal trends. Better serve your customers through optimal inventory planning with precise forecasting techniques.
An interactive, web-based planning tool to guide nonprofits in strategically allocating resources to serve demand for abortion.
internet of things project
Empowering consumer style by allowing clients to visualize cohesive outfits on a virtual mannequin. Item recommendations are generated from purchase history data and outfits trending on social media.
Hospital Find aims to ameliorate access and equity within the healthcare system by comparing different hospitals' costs and performance metrics and helping people find hospitals that fit their needs.
Chart My Vocabulary is an app that enables a user to chart the level of sophistication of their vocabulary. It does this using a measure called Flesch-Kincaid. It is powered by Assembly-AI.
Measure overall brand engagement on Team Liquid's YouTube channel.
Horsepower is a bot that calculates how much your computer equipment will affect your Elo Rating. It uses a branch of statistics known as hedonic regression but requires little technical knowledge.
Crop yields prediction via ensemble of ML models and exploration of temporal dynamics between predictors and yields
We provide an interactive dashboard which makes it fun to explore all aspects of crop modeling - From the input data, to the model theory and prediction process, to simulating possible scenarios.
This is a statistical engine developed in R that uses findings from agricultural economics to provide predictions of crop yields. It was submitted to the 2022 ML4Earth Hackathon.
Why do we learn about stochastic process in financial math? To try and make sense of these ideas, I decided to try and model a year's worth of closing prices of the NASDAQ 100 with a Markov Chain.
Quantifying effects of reducing food miles and recommending recipes to use leftover ingredients. We provide an interactive platform to augment global efforts to improve sustainability.
Answering the Goldman Sachs prompt, Journey aims to manage an investor's portfolio with a nuanced, holistic view. We analyze risk tolerance of the user and compare it to the risk of their portfolio.
A Risk Management App tailored for students primarily- ShareOn seeks to guide and educate new traders about investing- we provide tailored investment advice and tell you why they're the best for you
Using Datasets provided by EOG Resources, we were able to build a powerful visualization tool and Machine Learning Prediction Model
Report of the Accenture - Supply Chain Resilience Challenge" authors: Rodrigo Bonferroni, Gerard Boxó, Pol Lizaran and Lucas Torres
HealthCare Robot is an Anti-Covid , proximity based Ultraviolet Disinfectant . The main purpose of the HealthCare Robot is to detect the bacteria around us and to kill them .
Revamp the Robyn website and add a try demo feature that integrates R with the website to give visitors a better understanding of how Robyn works!
Evaluate Robyn models and visualize the effect of marketing activity on media spend.
