Time series : Predicting when a variable will reach a certain value (seasonal sensor data) python
For time series data, you can use LSTM or GRU neural networks. They would be the easiest to solve your problem.
So I have a seasonal time-series with 2 variable "Time" and "Sensor mesure" and I want to predict the date when that measure would reach a certain value . Can anyone suggest models/Algos that can help (I'm a beginner)
PS : Using python