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This project aims to find the best number of clusters among the dataset and label each point to a topic using unsupervised algorithm.
Based on existing information regarding an individual’s health conditions and lifestyle habits, can we accurately diagnose whether they have diabetes or pre-diabetes? And with what level of accuracy?
With an abundance of Covid-19 patients globally, a faster method for identifying infected patients is crucial. Using our model built with VGG16, we have a fast alternative to identifying the virus.
The rapid climate change & increasing obesity rates are 2 significant concerns for policy makers around the world. We aim to determine if increasing CO2 emissions is a driver in global obesity rates.
Want to know if steph curry's stats are affected by the quality of popcorn in the arena? Find out now!
Did you ever wish there was clear and up-to-date information about COVID-19 on any country/region which was so easy to use and implement? Well, my bot is here to help!
Smart Parking: parking Occupancy Monitoring and Visualization System for Smart Cities​
Front line man for doctors and to assist nurses
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