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What's Included

A Beginner's Introduction to Natural Language Processing
  • Experience level required: Beginner
  • Access 41 lectures & 3 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

41 Lessons (3h)

  • Chapter Zero
    An Introduction to NLP
    Real Life Applications3:56
    Demand Of NLP Experts4:05
    Course Curriculum2:04
  • Introduction & Overview
    Introduction & Overview9:38
    Installation and Setup13:20
    Installation and Setup Study Note
    Applications12:09
  • Introduction to NLTK toolkit
    Word and Sentence Tokenization3:36
    Word and Sentence Tokenization : Study Note
    POS Tagging1:52
    POS Tagging Study Note
    Named Entity Recognition [NER]3:25
    Named Entity Recognition (NER) Study Note
  • Introduction to Machine Learning
    NLP and Machine Learning5:34
    What is Machine Learning4:12
    What is Machine Learning Study Note
    Types Of Machine Learning Problems Regression and Classification9:39
    Types Of Machine Learning Problems Regression and Classification Study Note
  • Machine Learning for binary and multi class Classification
    Bag Of Words1:56
    Bag Of Words Study Note
    Binary Classification & Multi Class Classification8:20
    Binary Classification & Multi Class Classification Study Note
  • Introduction to word Embedding
    One Hot Encoding3:47
    One Hot Encoding Study Note
    Count Vectorizer13:35
    Count Vectorizer Study Note
    Tfidf Vectorizer8:48
    Hash Vectorizer7:12
    Hash Vectorizer and Tf-Idf Vectorizer Study Note
  • Deep Neural Networks for Word Embedding – Word2Vec, GloVe
    Wor2Vec Usage5:10
    Wor2Vec Usage Study Note
    Introduction to Neural Net4:55
    Introduction to Neural Net Study Note
    Activation Functions3:49
    Activation Functions Study Notes
  • Document and Sentence Embedding
    Document and Sentence Embedding5:08
  • Sentiment Analysis – Classical and Deep ML
    Sentiment Analysis6:53
  • Named Entity Extraction – Classical and Deep ML
    Named Entity Extraction5:38
  • Neural Machine Translation
    Neural Machine Translation9:57
  • Project : Question Classification on NLP
    Project : Question Classification on NLP21:26

A Beginner's Introduction to Natural Language Processing

U
Updegree

Instructor

UpDegree is a Group of IT skilled People having sound technical knowledge on various IT domain.

We work for different MNC including Microsoft, IBM, CISCO, eBay, Amazon, Flipkart, and a lot of startups also. We teach you practical hands-on computer skills what you need for a Job in the IT Sector. Less theory and more practical! Learn through example and step-by-step.

Description

Today, with the digitization of everything, 80% of the data being created is unstructured. Organizations are turning to natural language processing (NLP) technology to develop an understanding of these unstructured data sets. NLP is a branch of artificial intelligence that gives computers the ability to understand human speech as it is spoken. In this course, you'll get an introduction to this powerful tool and understand how to use it to make sense of data.

  • Access 41 lectures & 3 hours of content 24/7
  • Gain an understanding of how to use the Natural Language Tool Kit
  • Load & manipulate your own text data
  • Learn how to formulate solutions to text-based problems
  • Understand when it is appropriate to apply solutions such as sentiment analysis & classification techniques

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web and mobile
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner

Requirements

  • Internet required

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.