Project Goal- Create an Anomaly Detection tool.
As the first step I worked on some python code that would parse my XML files into a Dataframe in csv file.
The next step is to go into machine learning, find a good approach for my data that would detect anomalies.
When it comes to machine learning and more specific outlier detection, I have little to no experience.
Looking for some good sources where I can learn more about anomaly detection, this is why I’m asking for advice and recommendations here.
Information regarding the data
The data is parsed into a datafram, where the first row has the headers. Some of the headers contain text while the others contain numbers.