TutGee com Udemy Automatic Scanned Document Data Extraction OCR NER in Python

TutGee com Udemy Automatic Scanned Document Data Extraction OCR NER in Python

Name	[ TutGee.com ] Udemy - Automatic Scanned Document Data Extraction OCR NER in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.2 GB
Total Files	84
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Hash	028A44AB6A0AEF7F5BBD5A82165A27E4E602BFDD

/
Get Bonus Downloads Here.url	0.2 KB
/1. Introduction/
1. Project Introduction & Plan.mp4	12.3 MB
1. Project Introduction & Plan.srt	4.3 KB
/2. Project Setup/
1. Install Python.mp4	17.7 MB
1. Install Python.srt	2.9 KB
2. Install Virtual Environment.mp4	8.3 MB
2. Install Virtual Environment.srt	2.7 KB
3. Install Packages into Virtual Environment.mp4	7.7 MB
3. Install Packages into Virtual Environment.srt	1.8 KB
4. Install Tesseract OCR & Pytesseract.mp4	42.7 MB
4. Install Tesseract OCR & Pytesseract.srt	6.4 KB
5. Install spaCy.mp4	29.3 MB
5. Install spaCy.srt	3.2 KB
6. Test, the packages are installed.mp4	9.5 MB
6. Test, the packages are installed.srt	3.9 KB
/3. Data Preprocessing/
1. Load Business Card using OpenCV & PIL.mp4	33.7 MB
1. Load Business Card using OpenCV & PIL.srt	8.1 KB
10. Labeling.mp4	44.8 MB
10. Labeling.srt	8.4 KB
2. Pytesseract Extract text from Image.mp4	18.2 MB
2. Pytesseract Extract text from Image.srt	4.2 KB
3. Pytesseract Tesseract Error.mp4	13.4 MB
3. Pytesseract Tesseract Error.srt	1.8 KB
4. Pytesseract How it will Work .mp4	68.1 MB
4. Pytesseract How it will Work .srt	10.7 KB
5. Pytesseract Image to text to dataframe.mp4	15.5 MB
5. Pytesseract Image to text to dataframe.srt	4.7 KB
6. Pytesseract Clean Text in Dataframe.mp4	28.5 MB
6. Pytesseract Clean Text in Dataframe.srt	5.2 KB
7. Pytesseract Draw Bounding Box around each word.mp4	75.9 MB
7. Pytesseract Draw Bounding Box around each word.srt	13.4 KB
8. Extract Text and Data from all Business Card.mp4	84.7 MB
8. Extract Text and Data from all Business Card.srt	15.5 KB
9. Save data in csv.mp4	9.9 MB
9. Save data in csv.srt	2.0 KB
/.../4. Training Named Entity Model (NER)/
1. Spacy Training Data Format.mp4	11.2 MB
1. Spacy Training Data Format.srt	2.1 KB
10. Spacy Train NER pipeline model.mp4	5.8 MB
10. Spacy Train NER pipeline model.srt	2.1 KB
11. Spacy Save NER Model.mp4	4.6 MB
11. Spacy Save NER Model.srt	1.3 KB
2. Load Data and convert into Pandas DataFrame.mp4	37.7 MB
2. Load Data and convert into Pandas DataFrame.srt	7.5 KB
3. Cleaning Text.mp4	36.8 MB
3. Cleaning Text.srt	10.0 KB
4. Convert Data into spacy format.mp4	35.6 MB
4. Convert Data into spacy format.srt	7.5 KB
5. Testing Entities.mp4	9.3 MB
5. Testing Entities.srt	2.1 KB
6. Convert data into spacy format for all Business card text.mp4	21.1 MB
6. Convert data into spacy format for all Business card text.srt	3.3 KB
7. Splitting Data into Training and Testing Set.mp4	14.4 MB
7. Splitting Data into Training and Testing Set.srt	3.7 KB
8. Spacy Fill the Configuration.mp4	62.4 MB
8. Spacy Fill the Configuration.srt	9.4 KB
9. Spacy Prepare Data.mp4	50.4 MB
9. Spacy Prepare Data.srt	11.1 KB
/5. Predictions/
1. Import Required Libraries.mp4	8.9 MB
1. Import Required Libraries.srt	2.4 KB
10. Join token dataframe with Pytesseract data.mp4	67.2 MB
10. Join token dataframe with Pytesseract data.srt	13.1 KB
11. Bounding Box and Tagging Predicted Entities.mp4	53.9 MB
11. Bounding Box and Tagging Predicted Entities.srt	9.1 KB
12. Combine the BIO information.mp4	46.5 MB
12. Combine the BIO information.srt	8.1 KB
13. Bounding Box.mp4	71.9 MB
13. Bounding Box.srt	13.5 KB
2. Clean Text Function.mp4	6.2 MB
2. Clean Text Function.srt	1.5 KB
3. Load Spacy NER Model.mp4	11.3 MB
3. Load Spacy NER Model.srt	2.3 KB
4. Extract Text from Image and Convert into Data Frame.mp4	38.6 MB
4. Extract Text from Image and Convert into Data Frame.srt	5.6 KB
5. Convert Data Frame into Content.mp4	15.7 MB
5. Convert Data Frame into Content.srt	2.6 KB
6. Get Named Entities from model.mp4	25.3 MB
6. Get Named Entities from model.srt	3.2 KB
7. Displacy render.mp4	7.4 MB
7. Displacy render.srt	1.1 KB
8. Tagging Each Word.mp4	41.2 MB
8. Tagging Each Word.srt	6.7 KB
9. Join Label to tokens dataframe.mp4	25.4 MB
9. Join Label to tokens dataframe.srt	4.7 KB
~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 84