Hello everybody,

on the last assignment of course4/week 4 in [DeepLearning.AI TensorFlow Developer Specialization] we are building a model to forecast the dataset “daily-min-temperatures.csv”.

The dataset hat a total of 3650 datapoints and in the excercise we are predicting and evaluate the points from 2500 to 3650.

I was wondering how I need to adjust the code if I want to predict further datapoints. For example 3651-4000. Of course I can not evaluate then, but I would like to forecast it.

Can anybody help?

Thank you ver much.