Document classification using Machine Learning (Udemy.com)

( 4 Reviews )

Created by: Green Heritage LLC

Produced in 2018

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 86 / 100

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.

Time: 1.5h

Instructor Details

Green Heritage LLC

4.3 Rating
4 Reviews

Over 20 years of experience in programming applications in Fortune 500 companies. I have written 2 books on software design patterns and performance tuning that are published on kindle, nook and ibooks. So far I have taught react.js, nunit, Chatbot , several courses on machine learning and design patterns. I have also been working in machine learning area for many years. My passion is leverage my years of experience to teach students in a intuitive and enjoyable manner. I spent many years at Microsoft, Intuit and Accenture, developing and managing the technology that automatically delivers product recommendations to hundreds of millions of customers, all the time. I have started my own successful company, Green Heritage LLC Software in 2018, which focuses on online education. I am also available for technical consultation, resume screening and conducting technical interviews of candidates to expedite hiring.

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4.3

4 total reviews

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By Kamal Busaidi

A clear understanding of the use of text classification.

By Raja Kumar

I liked this course, but it is pretty basic.

The content of course is average.

The video quality was really bad and can be improved.

By Kannan Sundaram

Good introductory course for someone who wants to learn about Topic Modeling for the first time.

Certain key concepts could have been explained better. For example the section on probability calculation was covered a little fast. The instructor could paused and explained the formula by actually substituting numbers in the formula.

By Matthew Burnell