Become a Data Extraction Expert with Python, Pandas, OCR, NER, and Spacy : Learn to Train and Build Real-World Solutions

IDIOMA: INGLES

Contenido del curso - 7 secciones

Course Starter
- Course Starter - How to approach the course
- Udemy Review

Environment Setup
- Objectives
- Tools Setup - Ubuntu
- Tools Setup - Windows
- Using Pycharm for Coding

Conversion of Document to images and Text
- Objectives
- Conversion and Extraction from Structured PDF document
- Conversion of Scanned PDF document
- Conversion and Extraction of data from word document
- Common Format for Pipeline
- Code Download Instructions

Extraction of Data from images using OCR
- Objectives
- Tesseract for Extraction
- Tesseract Page Segmentation Mode (PSM) and OCR Engine Mode (OEM)
- PyTesseract Operations
- Extraction of Data From Image
- Code Download Instructions

NLP - Training Spacy Model & Labelling Data
- Objectives
- Named Entity Recognition (NER)
- Introducing Spacy
- Spacy Entity Types
- IOB Format
- Labelling with Spacy for NER
- Training Spacy model on custom data using NER
- Predicting using Trained Spacy Model
- Code Download Instructions

Convert Data to CSV Output using Pandas
- Objectives
- Pandas
- Convert Data to CSV Output
- Code Download Instructions

Final Project
- Workflow Pipeline
- Smart Data Extractor Project
- Code Download Instructions
- More Learnings