COVID-19 Patient Count Prediction Using LSTM | Machine Learning Project
Introduction The COVID-19 patient count prediction using LSTM project is a machine learning and deep learning project designed to analyze historical COVID-19 data and forecast patient counts using Long Short-Term Memory (LSTM) neural networks. Developed using Python, this project demonstrates how time-series analysis and deep learning can be applied to understand trends in pandemic-related data.
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