JONNY-ME/ETH-COVID19-cases-prediction

reasearch on the number of cases of COVID19 prediction in Ethiopia # ETH-COVID19-cases-prediction A Deep Learning Model for Predicting COVID-19 Transmission in Ethiopia ETH-COVID19-cases-prediction is a Python Script that is mainly writen in order to predict future spread of the pandemic Throughout ethiopia. This is a reasearch on the number of cases of COVID19 cases and deaths in Ethiopia. This is not a medical article. It is mainly based on the Machine Learning Concept ## Version ETH-COVID19-cases-prediction 1.0 ## Activation Function The activation function is a function that takes a set of input values and maps them to a range designated by the chosen function. ### ReLU The Rectified Linear Unit (ReLU) activation function is given by ### Sigmoid The sigmoid function is another very widely used activation function and performs very well in classification problems. One issue with this activation function is that it suffers from the vanishing gradient problem, in which the gradient becomes extremely small and struggles to learn as the activation approaches the horizontal portion of the curve ## Models LSTM RNN ARIMA ## Data Preprocecing ### Dataset The dataset used in this project was taken from Ower World in Data which is a scientific online publication that focuses on large global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality. ### Data Extracting The dataset provided in Ower World in Data dataset is an updated data for covid-19 statistics around the world. Our project is mainly focused on the covid-19 statistics in ethiopia therefore, we needed to extract the covid-19 dataset for Ethiopia. ### Data Description (initial state) The original dataset has _741_ rows and _67_ columns. ### Check for univariate analysis The columns having only 1 value are removed they are not useful for the analysis. ### Check for null values Some columns have all null values so we will drop them Columns those giving information about the vaccination having null values …