LSTM : prediction of time series
Budget: $250 – $750 USD
you have a set of data in the form of csv files which represents time series.
the csv file has 3 columns (d,x,y,z).
d = represents the date with a step of 10 min
x = represents the value of the data at a city X
y = represents the data value at a city Y
z = represents the value of the data at a city Z
there is a set of csv file for one of the years which will be used for training and for testing
The objective is to create a learning model capable of predicting for 1h, 3h, 6h, 12h..
contact me for more details
the csv file has 3 columns (d,x,y,z).
d = represents the date with a step of 10 min
x = represents the value of the data at a city X
y = represents the data value at a city Y
z = represents the value of the data at a city Z
there is a set of csv file for one of the years which will be used for training and for testing
The objective is to create a learning model capable of predicting for 1h, 3h, 6h, 12h..
contact me for more details