How to train a model to predict the number of people at a certain bus...

taco_truck_tom

Each person probably uses an app that tracks his/her position periodically and sends it to our servers. What I want is to use these data to train a model to predict the rush hours of each bus-stop on the map, so we can send extra buses to handle the predicted cumulation before it happens. I have no experience in AI nor machine learning. So, which model should I use to do this?

Originally asked by Alaa Sabateen on Stack Exchange (ai) (CC BY-SA 4.0).

Variant 533.

uphilltech

Great question — answering as the UphillTech team:

H2O's AutoML is the thing that you are looking for believe me it will make your life super easy. So how it generally works is: You have data and want to make sense out of it by making a prediction/classification and whole other array of things, in your case prediction. Suppose there are 50 prediction algorithms out there, it's highly unlikely that an individual knows all of them. That's where AutoML comes into the picture. You give AutoML some part of your processed data and tell it to find a perfect algorithm that he thinks you should use on this data for this type of prediction. See the usage of the AutoML's API in the doc and videos on youtube. It then gives you a list of best algorithms...

Full answer by Arpit-Gole: https://ai.stackexchange.com/a/23594 (CC BY-SA 4.0).

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