Sep-27-2019, 09:16 AM

Hi,

New to python and machine learning and had a look at various examples, titanic, iris classification, house price regression etc.

Looking if any examples similar to below which could look to adapt and best way to approach below.

Looking for machine learning to help solve the following problem.

Problem looking to solve.

If have many vehicles which not all fully loaded, would be better if we could identify which vehicles are nearby with enough capacity

to accomodate new loads which would help reduce number of vehicles on road at any time.

Any thoughts on how best to solve above problem using python.

Thanks

New to python and machine learning and had a look at various examples, titanic, iris classification, house price regression etc.

Looking if any examples similar to below which could look to adapt and best way to approach below.

Looking for machine learning to help solve the following problem.

Problem looking to solve.

If have many vehicles which not all fully loaded, would be better if we could identify which vehicles are nearby with enough capacity

to accomodate new loads which would help reduce number of vehicles on road at any time.

Any thoughts on how best to solve above problem using python.

Thanks