NLP - Natural Language Processing with Python

BY
Udemy

Mode

Online

Fees

₹ 499 3499

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 499  ₹3,499
certificate availability

Yes

certificate providing authority

Udemy

The syllabus

Introduction

  • Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!
  • Quick Check
  • Curriculum Overview
  • Installation and Setup Lecture
  • FAQ - Frequently Asked Questions

Python Text Basics

  • Introduction to Python Text Basics
  • Working with Text Files with Python - Part One
  • Working with Text Files with Python - Part Two
  • Working with PDFs
  • Regular Expressions Part One
  • Regular Expressions Part Two
  • Python Text Basics - Assessment Overview
  • Python Text Basics - Assessment Solutions

Natural Language Processing Basics

  • Introduction to Natural Language Processing
  • Spacy Setup and Overview
  • What is Natural Language Processing?
  • Spacy Basics
  • Tokenization - Part one
  • Tokenization - Part Two
  • Stemming
  • Lemmatization
  • Stop Words
  • Phrase Matching and Vocabulary - Part One
  • Phrase Matching and Vocabulary - Part Two
  • NLP Basics Assessment Overview
  • NLP Basics Assessment Solution

Part of Speech Tagging and Named Entity Recognition

  • Introduction to Section on POS and NER
  • Part of Speech Tagging
  • Visualizing Part of Speech
  • Named Entity Recognition - Part One
  • Named Entity Recognition - Part Two
  • Visualizing Named Entity Recognition
  • Sentence Segmentation
  • Part Of Speech Assessment
  • Part Of Speech Assessment - Solutions

Text Classification

  • Introduction to Text Classification
  • Machine Learning Overview
  • Classification Metrics
  • Confusion Matrix
  • Scikit-Learn Primer - How to Use SciKit-Learn
  • Scikit-Learn Primer - Code Along Part One
  • Scikit-Learn Primer - Code Along Part Two
  • Text Feature Extraction Overview
  • Text Feature Extraction - Code Along Implementations
  • Text Feature Extraction - Code Along - Part Two
  • Text Classification Code Along Project
  • Text Classification Assessment Overview
  • Text Classification Assessment Solutions

Semantics and Sentiment Analysis

  • Introduction to Semantics and Sentiment Analysis
  • Overview of Semantics and Word Vectors
  • Semantics and Word Vectors with Spacy
  • Sentiment Analysis Overview
  • Sentiment Analysis with NLTK
  • Sentiment Analysis Code Along Movie Review Project
  • Sentiment Analysis Project Assessment
  • Sentiment Analysis Project Assessment - Solutions

Topic Modeling

  • Introduction to Topic Modeling Section
  • Overview of Topic Modeling
  • Latent Dirichlet Allocation Overview
  • Latent Dirichlet Allocation with Python - Part One
  • Latent Dirichlet Allocation with Python - Part Two
  • Non-negative Matrix Factorization Overview
  • Non-negative Matrix Factorization with Python
  • Topic Modeling Project - Overview
  • Topic Modeling Project - Solutions

Deep Learning for NLP

  • Introduction to Deep Learning for NLP
  • The Basic Perceptron Model
  • Introduction to Neural Networks
  • Keras Basics - Part One
  • Keras Basics - Part Two
  • Recurrent Neural Network Overview
  • LSTMs, GRU, and Text Generation
  • Text Generation with LSTMs with Keras and Python - Part One
  • Text Generation with LSTMs with Keras and Python - Part Two
  • Text Generation with LSTMS with Keras - Part Three
  • Chat Bots Overview
  • Creating Chat Bots with Python - Part One
  • Creating Chat Bots with Python - Part Two
  • Creating Chat Bots with Python - Part Three
  • Creating Chat Bots with Python - Part Four

Bonus Section: Thank You!

  • Bonus Lecture

Instructors

Mr Jose Portilla
Head of Data Science
Udemy

Other Bachelors, M.S

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