Practical 5
Data Pre-processing and text analytics using Orange
What is the effect of discretization, continuation, Normalization, Randomization on the data w.r.t. Orange?
Normalization: Construct a preprocessor for normalization of features. Given a data table, preprocessor returns a new table in which the continuous attributes are normalized.
Randomization: Randomization allows creating random data sets, where variables correspond to the selected distributions.
Fig 1 Normalization of data with orange api in python
Fig 2 Randomization of data with orange api in python
Text Preprocessing: In natural language processing, text preprocessing is the practice of cleaning and preparing text data.
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