Oct-02-2019, 02:01 AM
I would like to use Python and Machine learning to read time stamped data set and analyze its trend behaviour to generate a report if any outliers.
This will basically be used to analyze daily datadump and recognize change in trends and generate report when certain unexpected behavious happens over time etc.
Create a logic that when Status = 1, it is OK that pressure increases. If status 0 = expect to decrease. I basically want to generate a report that let the user know that pressure has increased between 08-10 september, while the status was 1, and is not following the set up logic
This will basically be used to analyze daily datadump and recognize change in trends and generate report when certain unexpected behavious happens over time etc.
Create a logic that when Status = 1, it is OK that pressure increases. If status 0 = expect to decrease. I basically want to generate a report that let the user know that pressure has increased between 08-10 september, while the status was 1, and is not following the set up logic
![[Image: TpY2O.png]](https://i.stack.imgur.com/TpY2O.png)