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.

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.

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

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!