[D] How to approach “Price prediction” Machine Learning problem on time series data?
My initial thoughts
I got a time series transaction data of purchase logs of different products.
Ex: Product named “Y” purchased for “M” amount, on Date “D” at Location/Place “P” and 5-10 other features.
Now i need to predict, how much we need to pay for purchasing Product named “Y” on new Date “D1” at Location/Place “P1” and same 5-10 other features.
Need inputs on choosing
Machine Learning library – I have TensorFlow 2.0 in my mind.
ML Model / Neural network arch need to choose – I have Linear Regression in my mind.
Training strategy – using TF 2.0
Inference/Prediction strategy – using TF 2.0
Model saving, loading, versioning. – Saving to / Loading from / versioning using AWS S3.
Machine Configuration – Dataset is small so i am Okay with Running on CPU.