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Getting Started with Natural Language Processing with Python

Course Summary

This course is all about taking raw text data and deriving insights and value from it--processing text data using standard techniques in Natural Language Processing and Machine Learning.


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    Course Syllabus

    Course Overview
    - 1m 47s

    —Course Overview 1m 47s
    Getting Started
    - 35m 55s

    —Recognizing Natural Language Processing Applications 6m 51s
    —Understanding NLP Tasks 4m 0s
    —Tokenizing Text 2m 33s
    —Removing Stopwords 2m 43s
    —Identifying Bigrams 2m 12s
    —Stemming and POS Tagging 2m 48s
    —Disambiguating Word Meanings 2m 37s
    —Contrasting Rule Based and Machine Learning Approaches 3m 46s
    —Understanding Types of Machine Learning Problems in NLP 4m 44s
    —Understanding the Mechanics of Machine Learning 3m 35s
    Auto-summarizing Text
    - 26m 35s
    Classifying Text Using Machine Learning
    - 39m 26s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source , Development & Implementations and Data & Information Management Community

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