Welcome to KGP Talkie’s Natural Language Processing (NLP) course. It is designed to give you a complete understanding of Text Processing and Mining with the use of State–of–the–Art NLP algorithms in Python.
We will learn Spacy in detail and we will also explore the uses of NLP in real life. This course covers the basics of NLP to advance topics like word2vec, GloVe, Deep Learning for NLP like CNN, ANN, and LSTM. I will also show you how you can optimize your ML code by using various tools of sklean in python. At the end part of this course, you will learn how to generate poetry by using LSTM. Multi–Label and Multi–class classification is explained. At least 12 NLP Projects are covered in this course. You will learn various ways of solving edge–cutting NLP problems.
You should have an introductory knowledge of Python and Machine Learning before enrolling in this course otherwise please do not enroll in this course.
In this course, we will start from level 0 to the advanced level.
We will start with basics like what is machine learning and how it works. Thereafter I will take you to Python, Numpy, and Pandas crash course. If you have prior experience you can skip these sections. The real game of NLP will start with Spacy Introduction where I will take you through various steps of NLP preprocessing. We will be using Spacy and NLTK mostly for the text data preprocessing.
Courses : 12717
Specification: 2021 Natural Language Processing in Python for Beginners
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