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Natural Language Processing (NLP) in Python with 8 Projects

Udemy
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Natural Language Processing (NLP) in Python with 8 Projects
Complete Natural Language Processing NLP with Python 2020

Work on 8 Projects, Learn Natural Language Processing Python, Machine Learning, Deep Learning, SpaCy, NLTK, Sklearn, CNN

Product Brand: Udemy

Editor's Rating:
4.4

Udemy Coupon Code for Natural Language Processing (NLP) in Python with 8 Projects Course. Work on 8 Projects, Learn Natural Language Processing Python, Machine Learning, Deep Learning, SpaCy, NLTK, Sklearn, CNN

Created by Ankit Mistry, Vijay Gadhave, Data Science & Machine Learning Academy | 10.5 hours on-demand video course

Natural Language Processing Course Overview

Natural Language Processing (NLP) in Python with 8 Projects

Complete Natural Language Processing (NLP) with Spacy & NLTK. This course has 10+ Hours of HD Quality video, and following content. Welcome In this section we will get complete idea about what we are going to learn in the whole course and understanding related to natural language processing. Installation & Setup In this section we will get our online environment Google Colab setup. Basics of Natural Language Processing In this section we will dive into all basic NLP task like Tokenization, Lemmatization, stop word removal, name entity recognition, part of speech tagging, and see how to apply with different functions available in a Spacy and NLTK library.

What you’ll learn

  • The Complete understanding of Natural Language Processing
  • Implement NLP related task with Scikit-learn, NLTK and SpaCy
  • Apply Machine Learning Model to Classify Text Data
  • Text Classification (Spam Detection, Amazon product Review Classification)
  • Text Summarization (Turn 5000 word article into 200 Words)
  • Calculate Sentiment Score from Recently Posted Tweet (Tweeter API)
  • Refresh your Deep Learning Concepts (ANN, CNN & RNN)
  • Build your own Word Embedding (Word2vec) Model with Keras
  • Word Embeddings application with Google Pretrained Model
  • Spam Message Detection with Neural Network Based CNN and RNN Model
  • Automatic Text Generation using TensorFlow, Keras and LSTM
  • Working with Text Files & PDF in Python (PyPDF2 module)
  • Tokenization, Stemming and Lemmatization
  • Stop Words, Parts of Speech (POS) Tagging with NLTK
  • Vocabulary, Matching, Named Entity Recognition (NER)
  • Data Analysis with Numpy and Pandas
  • Data Visualization with Matplotlib library

Complete Machine Learning,NLP Bootcamp MLOPS & Deployment

Complete Machine Learning,NLP Bootcamp MLOPS & Deployment

Master the theory, practice, and math behind ML,NLP. Build real-world projects with MLOPS, git, Dockers with deployment

This Complete Machine Learning,NLP Bootcamp MLOPS & Deployment Course is designed to take you on a journey from understanding the basics to mastering advanced concepts, all while providing practical insights and hands-on experience. By the end of this course, you’ll have a comprehensive understanding of machine learning and natural language processing, from the basics to advanced concepts. You’ll be able to apply your knowledge to build real-world projects, and you’ll have the skills needed to pursue a career in ML and NLP.

Deep Learning and NLP: Seq2Seq Model Theory + ChatGPT Prizes

Deep Learning and NLP: Seq2Seq Model Theory + ChatGPT Prizes

Learn the Theory of Deep Natural Language Processing with the Seq2Seq model and enjoy several ChatGPT Prizes at the end!

The Deep Learning and NLP: Seq2Seq Model Theory + ChatGPT Prizes Course is taught by a team of experienced instructors who are passionate about NLP. They do a great job of explaining the complex concepts in a clear and concise way. The course also includes a number of hands-on exercises and projects, so you can learn by doing.

YOU’LL ALSO GET

  • Lifetime access to Natural Language Processing (NLP) with Python Course
  • Udemy Certificate of Completion available for download
  • Friendly support in the Q&A section

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Taught by Ankit Mistry

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