A Quick Guide to Tokenization, Lemmatization, Stop Words, and Phrase Matching using spaCy | NLP | Part 2

spaCy is designed specifically for production use. It helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning. In this article you will learn about Tokenization, Lemmatization, Stop Words and Phrase Matching operations using spaCy.

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Spacy Installation and Basic Operations | NLP Text Processing Library | Part 1

spaCy is an open-source Python library that parses and “understands” large volumes of text.
spaCy is the best way to prepare text for deep learning.
It interoperates seamlessly with TensorFlow, PyTorch, scikit-learn, Gensim and the rest of Python’s awesome AI ecosystem.
With spaCy, you can easily construct linguistically sophisticated statistical models for a variety of NLP problems.

What is Bagging in Ensemble Learning

Ensemble Learning says, if we can build multiple models then why to select the best one why not top 2, again why not top 3 and why not top 10. Then if you find top 10 deploy all 10 models. And when new data comes, make a prediction from all 10 models and combine the predictions and finally make a joint prediction. This is the key idea of ensemble learning.

How to create an Impressive Resume | Make it Simple

It does not matter how much subject knowledge you have, until you do not get a chance to show case it. It will be hidden somewhere within you. If you cannot market yourself well then you will always be lost in the crowd. So why am I talking about all these things. Imagine you are searching for a job and you have all the credentials required, however you are not getting shortlisted even. So what to do? Where is the problem? Are you marketing yourself well? Let’s discuss all these points in details.

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