Natural Language Processing (NLP) with Python and NLTK
- 4.7
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Brief Introduction
Master Natural Language with Python and NLP using Spam Filter detectionDescription
Natural Language Processing or NLP is a very popular field and has lots of applications in our daily life. From typing a message to auto-classification of mails as Spam or not-spam NLP is everywhere.
NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language. In this course we study about NLP and use the NLP toolkit or NLTK in Python.
The course contains following:
Introduction to NLP and NLTK
NLP Pipeline
Reading raw data
Cleaning and Pre-processing
Tokenization
Vectorization
Feature Engineering
Training ML Algorithm for Classifying Spam and non-spam messages
This course would be very useful for Applied Machine Learning Scientists and Data Scientists who are working on NLP/NLU.
Requirements
- Requirements
- Basic programming skills in Python. Familiarity with numPy, Pandas and matplotlib would be helpful but not required.
Abhishek Kumar
4.7 Raiting
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- 4.6
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- 4.6
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Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing Welcome to KGP Talkie's Natural Language Processing course....
