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Natural Language Processing (NLP) in Python with 8 Projects

Natural Language Processing (NLP) in Python with 8 Projects

Natural Language Processing (NLP) in Python with 8 Projects
Natural Language Processing (NLP) in Python with 8 Projects, Work on 8 Projects, Learn Natural Language Processing Python, Machine Learning, Deep Learning, SpaCy, NLTK, Sklearn, CNN

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Created by Ankit Mistry

English

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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

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