| 001 Course Starter - How to approach the course.mp4 | 18.6 MB | ||
| 001 Course Starter - How to approach the course_en.srt | 6.8 KB | ||
| 001 Objectives.mp4 | 1.3 MB | ||
| 001 Objectives_en.srt | 1 KB | ||
| 002 Environment-Setup-Manual-Windows.docx | 18 KB | ||
| 002 Image Reading using PIL and OpenCV.mp4 | 17.8 MB | ||
| 002 Image Reading using PIL and OpenCV_en.srt | 4.1 KB | ||
| 002 Named Entity Recognition (NER).mp4 | 9.9 MB | ||
| 002 Named Entity Recognition (NER)_en.srt | 3.6 KB | ||
| 002 Pandas.mp4 | 6.6 MB | ||
| 002 Pandas_en.srt | 2.9 KB | ||
| 002 Tools Setup - Windows.mp4 | 10.3 MB | ||
| 002 Tools Setup - Windows_en.srt | 4.4 KB | ||
| 002 Understanding Data Conversion.mp4 | 17.6 MB | ||
| 002 Understanding Data Conversion_en.srt | 4.1 KB | ||
| 002 Workflow Pipeline.mp4 | 4.2 MB | ||
| 002 Workflow Pipeline_en.srt | 2.1 KB | ||
| 002 image-reading.ipynb | 2.5 KB | ||
| 002 image.jpg?042148 | 219.2 KB | ||
| 003 Conversion and Extraction from Structured PDF document.mp4 | 21.9 MB | ||
| 003 Conversion and Extraction from Structured PDF document_en.srt | 4.3 KB | ||
| 003 Convert Data to CSV Output.mp4 | 12.6 MB | ||
| 003 Convert Data to CSV Output_en.srt | 2.2 KB | ||
| 003 Environment-Setup-Manual-Ubuntu.docx | 14.3 KB | ||
| 003 Introducing Spacy.mp4 | 7.5 MB | ||
| 003 Introducing Spacy_en.srt | 2.1 KB | ||
| 003 Invoice-Bill.pdf | 51.3 KB | ||
| 003 Smart Data Extractor Project.mp4 | 79.2 MB | ||
| 003 Smart Data Extractor Project_en.srt | 12.3 KB | ||
| 003 Smart-Data-Extractor-Project.mp4 | 37.9 MB | ||
| 003 Tesseract for Extraction.mp4 | 7.1 MB | ||
| 003 Tesseract for Extraction_en.srt | 3.1 KB | ||
| 003 Tools Setup - Ubuntu.mp4 | 5.1 MB | ||
| 003 Tools Setup - Ubuntu_en.srt | 3 KB | ||
| 003 convert-pdf.py | 819.2 B | ||
| 003 extract-text.txt | 1 KB | ||
| 003 main.py | 1.1 KB | ||
| 004 Code Download Instructions.mp4 | 1.6 MB | ||
| 004 Code Download Instructions_en.srt | 1 KB | ||
| 004 Conversion of Scanned PDF document.mp4 | 29.5 MB | ||
| 004 Conversion of Scanned PDF document_en.srt | 5.6 KB | ||
| 004 Invoice-Bill-Scanned.pdf | 294.8 KB | ||
| 004 Spacy Entity Types.mp4 | 4.2 MB | ||
| 004 Spacy Entity Types_en.srt | 1.5 KB | ||
| 004 Tesseract Page Segmentation Mode (PSM) and OCR Engine Mode (OEM).mp4 | 6 MB | ||
| 004 Tesseract Page Segmentation Mode (PSM) and OCR Engine Mode (OEM)_en.srt | 1.7 KB | ||
| 004 Using Pycharm for Coding.mp4 | 29.7 MB | ||
| 004 Using Pycharm for Coding_en.srt | 7.2 KB | ||
| 004 convert-pdf-scanned.py | 1.5 KB | ||
| 004 main.py | 512 B | ||
| 005 Article-File-with-Social-Media-Links.docx | 12.6 KB | ||
| 005 Conversion and Extraction of data from word document.mp4 | 27.1 MB | ||
| 005 Conversion and Extraction of data from word document_en.srt | 4.7 KB | ||
| 005 IOB Format.mp4 | 3.4 MB | ||
| 005 IOB Format_en.srt | 1.4 KB | ||
| 005 Invoice-Bill-DocType.docx | 23.3 KB | ||
| 005 Links.docx | 12.4 KB | ||
| 005 More Learnings.mp4 | 5.9 MB | ||
| 005 More Learnings_en.srt | 1.8 KB | ||
| 005 PyTesseract Operations.mp4 | 7.1 MB | ||
| 005 PyTesseract Operations_en.srt | 3.9 KB | ||
| 005 convert-doc-pdf.py | 716.8 B | ||
| 006 Common Format for Pipeline.mp4 | 15.5 MB | ||
| 006 Common Format for Pipeline_en.srt | 2.7 KB | ||
| 006 Extraction of Data From Image.mp4 | 20 MB | ||
| 006 Extraction of Data From Image_en.srt | 4.1 KB | ||
| 006 Invoice-Bill-DocType.docx | 23.3 KB | ||
| 006 Invoice-Bill-DocType.jpg?042148 | 252.3 KB | ||
| 006 Invoice-Bill-Scanned.jpg?042148 | 283.8 KB | ||
| 006 Invoice-Bill.jpg?042148 | 252.1 KB | ||
| 006 Invoice-Bill.pdf | 51.3 KB | ||
| 006 Labelling with Spacy for NER.mp4 | 24.5 MB | ||
| 006 Labelling with Spacy for NER_en.srt | 4.6 KB | ||
| 006 convert-pdf-scanned.py | 1.5 KB | ||
| 006 extract-data.py | 716.8 B | ||
| 006 extract-text.txt | 1 KB | ||
| 006 main.py | 716.8 B | ||
| 007 Code Download Instructions.mp4 | 1.8 MB | ||
| 007 Code Download Instructions_en.srt | 1 KB | ||
| 007 Training Spacy model on custom data using NER.mp4 | 77.5 MB | ||
| 007 Training Spacy model on custom data using NER_en.srt | 7.4 KB | ||
| 007 base-config.cfg | 4.1 KB | ||
| 007 default-config.cfg | 4.1 KB | ||
| 007 spacy-training.py | 1 KB | ||
| 008 Predicting using Trained Spacy Model.mp4 | 11.3 MB | ||
| 008 Predicting using Trained Spacy Model_en.srt | 1.9 KB | ||
| 008 prediction-spacy.py | 307.2 B | ||
| 009 Code Download Instructions.mp4 | 2.2 MB | ||
| 009 Code Download Instructions_en.srt | 1.1 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 105 total files | |||
OCR for Smart Data Extraction from PDF and Images with NER
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 37 lectures (1h 45m) | Size: 364.7 MB
Learn Data Extraction, Labelling with Training using Spacy & build a solution with Python, Pandas, OCR and NER concepts
What you'll learn
Understand data extraction from different types of documents such as PDF, Word and Scanned Images
Learn how to use Tesseract and PyTesseract for recognition of data from images
Learn how to use Spacy efficiently for labelling along with training on custom data for NER
Use Pandas to convert extracted data to a CSV format
Requirements
Basic Python Programming knowledge
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