Beginning Anomaly Detection Using


numpy is a dependency of many of the other modules since it allows  them to perform high levels of computation.  Pandas



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Beginning Anomaly Detection Using Python-Based Deep Learning

numpy is a dependency of many of the other modules since it allows 

them to perform high levels of computation. 



Pandas is a module that allows us to 

read data files of various formats in order to store them as data frame objects, and it is 

a popular framework for data science in general. These data frames hold data entries 

in a similar fashion to arrays and can be thought of as a table of values. 



Matplotlib is 

a Python library that allows us to customize and plot data. Finally, 



scikit-learn is a 

package that allows us to apply various machine learning models to data sets as well as 

provide tools for data analysis.

%matplotlib inline allows for graphs to be displayed below the cell and to be saved 

alongside the notebook.

Next, define the columns and load the data frame (Figure 

2-11

).


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