Forecasting Covid-19 cases using machine learning models in South Africa
Sakhiwo Mtwenka , Siyabonga Mbomambi
Partner: covid19za
Year: 2021
Abstract:
The Corona virus (Covid ��� 19) continues to have a significant negative impact on the wellbeing of humanity and the economy of many countries, more especially in emerging market economies. the LSTM and the Facebook Prophet sequential models were trained on Google term searches and South African Covid - 19 positive cases data. The LSTM achieved better overall accuraly relatively.