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[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

  1. Machine Learning library – I have TensorFlow 2.0 in my mind.

  2. ML Model / Neural network arch need to choose – I have Linear Regression in my mind.

  3. Training strategy – using TF 2.0

  4. Inference/Prediction strategy – using TF 2.0

  5. Model saving, loading, versioning. – Saving to / Loading from / versioning using AWS S3.

  6. Machine Configuration – Dataset is small so i am Okay with Running on CPU.

submitted by /u/pktippa
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.