Udemy – Data Extraction Basics for Docs and Images with OCR and NER 2024-3

Udemy – Data Extraction Basics for Docs and Images with OCR and NER 2024-3 Downloadly IRSpace

Apr 18, 2025 - 18:13 Updated: Apr 21, 2025 - 19:52

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Udemy – Data Extraction Basics for Docs and Images with OCR and NER 2024-3

Data Extraction Basics for Docs and Images with OCR and NER. Advance your data science and machine learning skills by mastering advanced techniques for extracting valuable information from a variety of document formats. This comprehensive course gives you the tools and knowledge you need to efficiently extract data from PDFs, images, and other documents. You’ll explore advanced techniques in optical character recognition (OCR), natural language processing (NLP), and computer vision to automate data extraction processes and streamline your workflow.

This course will introduce you to the fundamental concepts of image processing, OCR techniques with Tesseract and PyTesseract, natural language processing with Spacy, and building data mining pipelines. You will learn how to use computer vision techniques to preprocess and enhance image-based documents, and customize and tune OCR and NLP models for specific domains.

What you will learn in the Data Extraction Basics for Docs and Images with OCR and NER course:

Learn how to easily extract data from PDFs, Word documents, scanned images, and more.
Use Tesseract and PyTesseract to perform optical character recognition (OCR) on high-resolution images.
Develop common pipelines to extract data from different types of input documents.
Learn how to create a robust data mining workflow.
Get started with Spacy for effective tagging.
Learn how to train Spacy on your dataset.
Use Pandas to convert the extracted data to CSV format.
Design a customizable OCR technical solution for data extraction.

This course is suitable for people who:

Python developers who need to extract data from various sources for their work.
Students who are interested in learning about data mining and how to use it to solve real-world problems.
Anyone who is curious about data mining and wants to learn more about it.

Course details

Publisher: Udemy
Instructor: Vineeta Vashistha
Training level: Beginner to advanced
Training duration: 1 hour and 46 minutes
Number of lessons: 39

Course syllabus on 2024/11

Course prerequisites

Basic understanding of programming
Familiarity with Python

Course images

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Download link

Download file – 361 MB

File(s) password: www.downloadly.ir

File size

361 MB

Udemy – Data Extraction Basics for Docs and Images with OCR and NER 2024-3