From the course: Applied AI for IT Operations (AIOps)

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Preprocessing RCA data

Preprocessing RCA data - Python Tutorial

From the course: Applied AI for IT Operations (AIOps)

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Preprocessing RCA data

- [Instructor] In this video, we will load up the RCA data set and pre-process it to make it ready for machine learning consumption. Remember that the purpose of doing all this is to predict the root cause based on the symptoms seen for the problem. The code examples for this chapter are available in the Jupiter notebook named code_02_XX Incident Root Cause Analysis in the Exercise Files folder. Let's open up the notebook now. Before we proceed, let's run the package setup to make sure that all packages required for this exercise are installed. Let's now look at the pre-processing data section. We will use Pandas to load up the data set. First we load the CSV into a Pandas data frame using the read_csv method. We then print the data types and contents of the data frame to check if the loading happened successfully. Let's execute this code. We see now the contents printed correctly. Next, we need to convert data to formats that can be consumed by Keras as Keras only consumes NumPy…

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