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Using ML to choose the best location to build the new oil well, judging by regions profitability and risk loss. The dataset is provided by Yandex Practicum.

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Choosing the best location for the oil well

Using machine learning to build the model that will help to pick the location for the new oil well with the highest profit margin with analysis potential profits and risks using the Bootstrap technique.

Tools used:

pandas, numpy, sklearn, bootstrap

Conclusion:

Region 0 :
average_profit: 4094280.39
confidence_interval: -1315360.29 : 9443955.82
risk_of_losses: 7.1

Region 1 :
average_profit: 5369025.88
confidence_interval: 1145279.03 : 9707879.11
risk_of_losses: 0.9

Region 2 :
average_profit: 3537903.63
confidence_interval: -1591940.31 : 8756525.03
risk_of_losses: 10.2

The second region has the best average profit (5.37 MM USD) and the minimum risk of loss (0.9%)

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Using ML to choose the best location to build the new oil well, judging by regions profitability and risk loss. The dataset is provided by Yandex Practicum.

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