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Machine Learning Techniques and Forecasting Methods for Analyzing and Predicting Covid-19

Covid-19 is the name of the coronavirus that initially appeared in Wuhan, China at the end of 2019. Since its appearance, many people over the world have been infected with various illnesses ranging from the common flu, cold, headache, cough and breathing syndromes, which represent the virus's worst and most serious illness because it causes difficulty breathing for the person and can increase the virus's death rate if treatment is not provided immediately. The goal of this project is to evaluate confirmed cases and deaths using machine learning techniques and predicting methodologies. The results show that the k-means method can analyze the data and provide accurate results, and that both of the Exponential and Moving methods can predict results. According to the findings, machine learning techniques and forecasting methods performed best when used in tandem.