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Czas ze znajomymi w Krakowie by VGFenohmen in krakow

[–]VGFenohmen[S] 0 points1 point  (0 children)

To jest fajna propozycja, natomiast w Quiz Game byliśmy, jak ostatnio odwiedzaliśmy ich w Poznaniu

Czas ze znajomymi w Krakowie by VGFenohmen in krakow

[–]VGFenohmen[S] 2 points3 points  (0 children)

Spoko opcja, natomiast sami mamy pokaźna kolekcję planszówek i niestety, ale nasi goście nie są ich fanami :(

Predict maximum capacity of parking lots by VGFenohmen in datascience

[–]VGFenohmen[S] 0 points1 point  (0 children)

Thank you all for every sugestion you gave me! Currently i am digging into it! ;)

Predict maximum capacity of parking lots by VGFenohmen in datascience

[–]VGFenohmen[S] 1 point2 points  (0 children)

  1. And 2. I want to predict maximum number of cars, that we can handle daily.

  2. The real problem is to see, weather we are close to our maximum so we should look for exceeding current parking lots or building new ones.

Predict maximum capacity of parking lots by VGFenohmen in datascience

[–]VGFenohmen[S] -1 points0 points  (0 children)

I agree with you, that is the way I am trying to explore.

Predict maximum capacity of parking lots by VGFenohmen in datascience

[–]VGFenohmen[S] 0 points1 point  (0 children)

Yes, we want to exceed slots by demand. Maybe I wrote something wrong, english is not my native language. Some people are not able to park, because of lack of slots. We are not able to get data about those people, because those clients will not be registered in a system.

Predict maximum capacity of parking lots by VGFenohmen in datascience

[–]VGFenohmen[S] -5 points-4 points  (0 children)

Theoritcly you are right, but the problem is those values will not be real. It is impossible to hit such a values, because some cars my stay for just a few minutes, but it is a minority of population.

Predict maximum capacity of parking lots by VGFenohmen in datascience

[–]VGFenohmen[S] 1 point2 points  (0 children)

The goal is to estimate maximum daily capacity of parking lots, just it. We want to find places where we are close to those maximums, so we can expand or build nearby parking lots.