Crisp codes and Theory 1 : Tagging words( NLP ) , Feature Engineering and Image Segmentation
With the onset of a Chatbots era, let us understand a few basic concepts and feature engineering with this cool video on tagging. This problem is not as straightforward as it seems. Like "Apple a day keeps the doctor away" and "Apple is a company" have different tags(fruit, organization) for the same name. There are lot of other challenges, which needs to be understood to create a robust algorithm.
Link to jupyter notebook : https://github.com/crazymuse/MLDemo/b...
SKLearn-CRFSuite Doc Reference : https://sklearn-crfsuite.readthedocs....
I have taken a few vector art from https://www.freepik.com/
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