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Predict your Facebook star ratings from business features like parking and restaurant facilities.
By machine learning, propensity scoring, and causal estimation, our project evaluates final third decision making.
Script to identify team-specific build-up patterns, UI to allow scouts to easily view most popular passing patterns
Our tool enables users to anticipate the next pass based on pass sequencing and past location-specific tendencies.
A new and improved xGChain: Proper attribution of xG value to each player involved in a passing sequence using ML.
Fanalytics TV & mobile app provides fans with simple analytics that enhance their game watching experience
A web tool for MLS clubs to asses the monetary value of International Roster Spots applied to specific squad roles.
We have built a prototype that
An intuitive recommendation system to make the life of a coach easier
Measuring overlap of each player's reception strengths with their teammates' passing strengths to quantify chemistry.
How do defensive characteristics play out throughout the course of a match?
Novel approach to team profiling and match prediction using machine learning.
What's trending
We developed a software package for advanced soccer analytics and integrated it into an interactive web application
Place a mobile smart hub to ease fleet movement and improve DE's turn around time
Use player evaluation data and relative lineup strength to predict match outcomes
We protect your Brand from suffering due to delivery delays. Today 15% of your orders are delivered beyond 50 minutes
Why did USA fail? We answer by making an interactive tool for ball movement and a new metric for player contribution
We use cluster analysis to evaluate playing styles that have the most value to a team and redefine traditional roles.
Drip is a low-cost precision irrigation system designed to service the needs of farmers in developing nations.
A phylogenic tree of CYP450 mutations can provide fundamental information for precision medicine in pharmacogenomics
We address both the demand and supply side of job matching using novel tools to find an optimal match
Given a set of words, we search for relevant tweets and rank them according to weight (e.g. very negative words used)
Retaining customers with AI powered insights beyond the point of sale
