Having fun making a football machine learning app that will predict defensive play calls. See the app link for details on how this was done.
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Updated
Nov 18, 2020 - HTML
Having fun making a football machine learning app that will predict defensive play calls. See the app link for details on how this was done.
Local Connecticut Election & Voter Data Analytics Projects 🇺🇸
The African Savannah Elephants - A predictive analytics study
This is the GitHub repository for the technical product documentation for Syncfusion Predictive Analytics components
Predictive Analytics for Business
Ralph Winters Website
This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.
Repozytorium projektowe
This project is to assess and evaluate the social performance of Cognizant by leveraging PCA algorithm. We will analyze various social parameters, including diversity and inclusion, employee well-being, retention, stakeholder engagement, and social contributions, to identify distinctive characteristics within the dataset.
My capstone project for Ryerson's Data Analytics, Big Data, and Predictive Analytics. The project I worked on was based on an open competition project called DengAI: Predicting Disease Spread. The objective of the project was to predict the total number of cases in the testing set of Iquitos, Peru & San Juan, Puerto Rico.
Machine learning model developed in R to predict which water pumps across Tanzania are not working properly
A data analysis product that predicts the estimated rent of a house inside Indian metropolis using Long Short Term Neural Network. A website that builds strong with Django web frameworks that predicts house rent according to desire of the user and displays it.
Reinforcement learning project
Poor inventory management leads to a loss in sales which in turn paints an inaccurate picture of lower demand for certain items, making future order predictions based on that past data inherently inaccurate. Instead, smart retailers use real-time data to move inventory where it’s needed before it’s too late. Additionally, they use predictive ana…
illini esports discord community growth and engagement analysis
Different Programs on Data mining techniques such as classification, clustering, predictive analysis
Side project to create a bot that automatically trades on crypto markets
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