Document classification using Machine Learning
Document classification using Machine Learning, available at $39.99, has an average rating of 3.3, with 26 lectures, based on 43 reviews, and has 189 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginner python developer who are curious to learn about how to apply machine learning to solve real world problems. It is particularly useful for Beginner python developer who are curious to learn about how to apply machine learning to solve real world problems.
Enroll now: Document classification using Machine Learning
Summary
Title: Document classification using Machine Learning
Price: $39.99
Average Rating: 3.3
Number of Lectures: 26
Number of Published Lectures: 26
Number of Curriculum Items: 26
Number of Published Curriculum Objects: 26
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Beginner python developer who are curious to learn about how to apply machine learning to solve real world problems.
Target Audiences
- Beginner python developer who are curious to learn about how to apply machine learning to solve real world problems.
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.
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Understanding of document classification
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Leverage Machine Learning to classify documents
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User Jupyter Notebook for programming
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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?
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Learn document classification and Machine Learning programming from professional trainer from your own desk.
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Over 10 lectures teaching you document classification programming
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Suitable for beginner programmers and ideal for users who learn faster when shown.
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Visual training method, offering users increased retention and accelerated learning.
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Breaks even the most complex applications down into simplistic steps.
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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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Overview
Lecture 2: What is document classification?
Lecture 3: Why document classification is important?
Lecture 4: About Author
Lecture 5: What will you learn in this course?
Lecture 6: Benefits of Machine Learning
Lecture 7: Pre-requisites
Lecture 8: Summary
Chapter 2: Document Classification Technology
Lecture 1: Overview
Lecture 2: Introduction to Machine Learning
Lecture 3: Typical Machine Learning Techniques
Lecture 4: Latent Dirichlet Allocation
Lecture 5: Summary
Chapter 3: Setting up machine for document classification
Lecture 1: Overview
Lecture 2: Install Anaconda with Python
Lecture 3: Install Tools
Lecture 4: Summary
Chapter 4: Step by Step Code Walkthrough
Lecture 1: Overview
Lecture 2: Getting familiar with programming environment
Lecture 3: Pre-Processing Data
Lecture 4: Converting document to tokens
Lecture 5: Training LDA model
Lecture 6: Performance of LDA model
Lecture 7: LDA Mallett Model
Lecture 8: Summary
Chapter 5: Endless Possibilities
Lecture 1: User Cases for document classification
Instructors
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Evergreen Technologies
Software Mentor
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 3 votes
- 3 stars: 16 votes
- 4 stars: 12 votes
- 5 stars: 8 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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