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Hello Everyone , I want to Analyse Log file with ML

I have some timestamped log files from controllers, drivers, etc of a device. I have seen some error codes in the log files whose causes are not known. I would like to analyze these log files and identify patterns, such as whether errors occur sequentially or if one error depends on another. Errors could also be triggered by other errors, potentially even from one day ago or just a sec ago . What could be the best and simplest approach to this? or if there are solution of similar problems plz let me know . Thanks

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Welcome, @knii.
Do an exploratory data analysis (EDA) of the log files. Find out the frequency of occurrence of each type of error, what triggers them (the error messages), and related stuff. Your data is a time series. There are multiple tools you can use. Start with the Python suite, use notebooks/Spyder for the interactivity before you use scripts. Do a deep dive - check for trend, seasonality and noise within the patterns. You may use a model such as Facebook’s Prophet. It is free.

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