Matlab Computer Project

Hi, I'm doing a matlab project, and I'm stuck at this part,

Download the following files(you can get the latest version at https://github.com/CSSEGISandData/COVID-19)

•time_series_covid19_confirmed_global.csv
•time_series_covid19_deaths_global.csv
•time_series_covid19_recovered_global.csv

Train three (3) neural networks that  predict  the  number  of  confirmed  cases,  deaths,  and  recovered  cases  in  different geographic locations in Australia from Jan 22, 2020 (Day 1) to Apr 30, 2021 (Day 465). Train the network using all eight states/territories in the dataset. Export your neural networks as network_c, network_d, and network_r and save them in a .mat file as myNetworks.mat.

Show the distribution of confirmed, deaths, and recovered cases for April 30, 2021using a surf plot in Figures3, 4, and 5, respectively. The latitude, longitude, and number of cases correspond to the x, y, and z-axes, respectively. Also, show the 3d scatter plot of the actual data in all the figures.

Aim for a regression result of at least 95%.

Inputs
-Latitude
-Longitude
-Day

Output
-number of confirmed cases (network_c)
-number of deaths (network_d)
-number of recovered cases (network_r)