I want a python code $($program$)$ that do the following For price prediction project:

If I have a table contains two columns, the first one is the date $($in months$)$ and the second one is the price, I want a model that calculate the change in the prices between the month and the month before then the model try to predict this change.

after the prediction of the price change $($or price difference$)$ done, I want the model to add this predicted difference to the price value, which results a predicted Price.

Then let the model plot the scatterplot $($comparing actual and predicted$)$ and do the error calculations, for these three machine learning algorithms:

$1-$ XGboost

$2-$ LSTM

$3-$ reinforcement learning

In three separate codes