Document classification using Machine Learning
3.7 (26 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
110 students enrolled

Document classification using Machine Learning

Using Latent Dirichlet Allocation to classify documents using Machine Learning
3.7 (26 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
110 students enrolled
Last updated 12/2019
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Current price: $20.99 Original price: $29.99 Discount: 30% off
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This course includes
  • 1.5 hours on-demand video
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • At the end of my course students will be able to use the machine learning to classify large dataset of documents
  • At the end of my course students will be able to use the machine learning to improve document search engine
  • At the end of my course students will be able to use the machine learning to suggest recommendations
Course content
Expand all 26 lectures 01:32:21
+ Document Classification Technology
5 lectures 26:12
Overview
00:29
Introduction to Machine Learning
05:34
Typical Machine Learning Techniques
10:53
Latent Dirichlet Allocation
08:52
Summary
00:24
+ Setting up machine for document classification
4 lectures 08:27
Overview
00:29
Install Anaconda with Python
03:04
Install Tools
04:23
Summary
00:31
+ Step by Step Code Walkthrough
8 lectures 31:01
Overview
00:43
Getting familiar with programming environment
03:02
Pre-Processing Data
04:22
Converting document to tokens
07:51
Training LDA model
07:40
Performance of LDA model
03:08
LDA Mallett Model
03:39
Summary
00:36
+ Endless Possibilities
1 lecture 05:14
User Cases for document classification
05:14
Requirements
  • Students will need to Python 3 before starting this course
Description

Course Description

Learn the document classification with the machine learning and popular programming language Python.

Build a strong foundation in Machine Learning with this tutorial for beginners.

  • Understanding of document classification

  • Leverage Machine Learning to classify documents

  • User Jupyter Notebook for programming

  • Use Latent Dirichlet Allocation Machine Learning Algorithm for document classification

A Powerful Skill at Your Fingertips  Learning the fundamentals of document classification puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.

Jobs in machine learning area are plentiful, and being able to learn document classification with machine learning will give you a strong edge.

Machine Learning is becoming very popular. Alexa, Siri, IBM Deep Blue and Watson are some famous example of Machine Learning application. Document classification is vital in information retrieval, sentiment analysis and document annotation.  Learning document classification with machine learning will help you become a machine learning developer which is in high demand.

Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using document classification with machine learning in information retrieval and social platforms. They claimed that using Machine Learning and document classification has boosted productivity of entire company significantly.

Content and Overview  

This course teaches you on how to build document classification using open source Python and Jupyter framework.  You will work along with me step by step to build following answers

Introduction to document classification.

Introduction to Machine Learning

Build an application step by step using LDA to classify documents

Tune the accuracy of LDA model

Learn variation of LDA model

Learn use cases of LDA model


What am I going to get from this course?

  • Learn document classification and Machine Learning programming from professional trainer from your own desk.

  • Over 10 lectures teaching you document classification programming

  • Suitable for beginner programmers and ideal for users who learn faster when shown.

  • Visual training method, offering users increased retention and accelerated learning.

  • Breaks even the most complex applications down into simplistic steps.

  • Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.


Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well.

Who this course is for:
  • Beginner python developer who are curious to learn about how to apply machine learning to solve real world problems.