I’d like some inputs to understand how should I train a timeserie and make predictions.
I have set a POC using some few sample values for training.
Training endup successfully, I mean no error on code.
But when I input a timestamp
1699483693760 to predict value from, I then get a prediction of -3613421056.
I understand I have trained over only very few sample values but no reason why it should predict negative value. (my input training contains values between 0…5000)
Here is the code I have made, if you can take a look and point the mistakes :
Maybe I should use a lstm as first layer in the model?
Maybe I should format dates in timeserie in a different format?
Maybe I should restart from the begining : reading some articles and watching videos on ML training?
What else would you suggest to me?