COVID PREDICTION USING MACHINE LEARNING TECHNIQUES

The COVID-19 pandemic has had a profound impact on
global public health and the economy. Machine learning algorithms
have played a crucial role in predicting the spread of the virus and
assessing its impact. This work aims to develop a predictive model
for COVID-19 using machine learning techniques. We leverage a
comprehensive dataset of COVID-19 cases, including demographic,
geographic, and epidemiological information. The main goal of this work is to develop a machine learning-based predictive model for COVID-19. This model aims to forecast the spread of the virus,including the number of cases, infection rates, and potential hotspots.The results highlight the potential of machine learning algorithms in predicting COVID-19 outcomes with reasonable accuracy, demonstrating their value in aiding healthcare professionals in making informed decisions.