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Analyze Textual Data with Machine Learning - Create Synthetic Features

In this project, we are going to talk about applying Machine Learning models to create classifiers and to make sense of textual data.
What are the prerequisites for this project?
  • Language used: Python

What will you learn

  • Text corpus creation
  • Text Cleanup
  • Feature construction
  • Feature reduction
  • Apply Machine Learning

Project Description

Text cleaning and processing is an important task in every machine learning project where the task is to make sense of textual data. How to construct features from Text Data and further to it, create synthetic features are again critical tasks. On top of it how to apply machine learning models to create classifiers are also difficult. 



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