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Udemy - Automatic Scanned Document Data Extraction OCR NER in Python

Torrent Info
Category Other
Added Thursday 1st June 2023 08:47:05 PM (3 years ago)
Size1.1 GB
Peers2 Peers (2 Seeders and 0 leechers) update
Downloaded8 times
Uploaderfreecoursewb  Thank You  (0) Report Torrent 00/0
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Tags English
Seeders2
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Torrent Files (84)
FilenameSize
Get Bonus Downloads Here.url176 bytes
~Get Your Files Here !/1. Introduction/1. Project Introduction & Plan.mp411.7 MB
~Get Your Files Here !/1. Introduction/1. Project Introduction & Plan.srt4.2 KB
~Get Your Files Here !/2. Project Setup/1. Install Python.mp416.9 MB
~Get Your Files Here !/2. Project Setup/1. Install Python.srt2.8 KB
~Get Your Files Here !/2. Project Setup/2. Install Virtual Environment.mp47.9 MB
~Get Your Files Here !/2. Project Setup/2. Install Virtual Environment.srt2.7 KB
~Get Your Files Here !/2. Project Setup/3. Install Packages into Virtual Environment.mp47.3 MB
~Get Your Files Here !/2. Project Setup/3. Install Packages into Virtual Environment.srt1.8 KB
~Get Your Files Here !/2. Project Setup/4. Install Tesseract OCR & Pytesseract.mp440.7 MB
~Get Your Files Here !/2. Project Setup/4. Install Tesseract OCR & Pytesseract.srt6.3 KB
~Get Your Files Here !/2. Project Setup/5. Install spaCy.mp428.0 MB
~Get Your Files Here !/2. Project Setup/5. Install spaCy.srt3.1 KB
~Get Your Files Here !/2. Project Setup/6. Test, the packages are installed.mp49.1 MB
~Get Your Files Here !/2. Project Setup/6. Test, the packages are installed.srt3.8 KB
~Get Your Files Here !/3. Data Preprocessing/1. Load Business Card using OpenCV & PIL.mp432.1 MB
~Get Your Files Here !/3. Data Preprocessing/1. Load Business Card using OpenCV & PIL.srt7.9 KB
~Get Your Files Here !/3. Data Preprocessing/10. Labeling.mp442.7 MB
~Get Your Files Here !/3. Data Preprocessing/10. Labeling.srt8.2 KB
~Get Your Files Here !/3. Data Preprocessing/2. Pytesseract Extract text from Image.mp417.4 MB
~Get Your Files Here !/3. Data Preprocessing/2. Pytesseract Extract text from Image.srt4.1 KB
~Get Your Files Here !/3. Data Preprocessing/3. Pytesseract Tesseract Error.mp412.8 MB
~Get Your Files Here !/3. Data Preprocessing/3. Pytesseract Tesseract Error.srt1.7 KB
~Get Your Files Here !/3. Data Preprocessing/4. Pytesseract How it will Work .mp465.0 MB
~Get Your Files Here !/3. Data Preprocessing/4. Pytesseract How it will Work .srt10.4 KB
~Get Your Files Here !/3. Data Preprocessing/5. Pytesseract Image to text to dataframe.mp414.8 MB
~Get Your Files Here !/3. Data Preprocessing/5. Pytesseract Image to text to dataframe.srt4.6 KB
~Get Your Files Here !/3. Data Preprocessing/6. Pytesseract Clean Text in Dataframe.mp427.2 MB
~Get Your Files Here !/3. Data Preprocessing/6. Pytesseract Clean Text in Dataframe.srt5.1 KB
~Get Your Files Here !/3. Data Preprocessing/7. Pytesseract Draw Bounding Box around each word.mp472.4 MB
~Get Your Files Here !/3. Data Preprocessing/7. Pytesseract Draw Bounding Box around each word.srt13.1 KB
~Get Your Files Here !/3. Data Preprocessing/8. Extract Text and Data from all Business Card.mp480.8 MB
~Get Your Files Here !/3. Data Preprocessing/8. Extract Text and Data from all Business Card.srt15.1 KB
~Get Your Files Here !/3. Data Preprocessing/9. Save data in csv.mp49.5 MB
~Get Your Files Here !/3. Data Preprocessing/9. Save data in csv.srt2.0 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/1. Spacy Training Data Format.mp410.7 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/1. Spacy Training Data Format.srt2.0 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/10. Spacy Train NER pipeline model.mp45.6 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/10. Spacy Train NER pipeline model.srt2.1 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/11. Spacy Save NER Model.mp44.4 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/11. Spacy Save NER Model.srt1.3 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/2. Load Data and convert into Pandas DataFrame.mp436.0 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/2. Load Data and convert into Pandas DataFrame.srt7.4 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/3. Cleaning Text.mp435.1 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/3. Cleaning Text.srt9.7 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/4. Convert Data into spacy format.mp433.9 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/4. Convert Data into spacy format.srt7.4 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/5. Testing Entities.mp48.9 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/5. Testing Entities.srt2.0 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/6. Convert data into spacy format for all Business card text.mp420.2 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/6. Convert data into spacy format for all Business card text.srt3.2 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/7. Splitting Data into Training and Testing Set.mp413.8 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/7. Splitting Data into Training and Testing Set.srt3.6 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/8. Spacy Fill the Configuration.mp459.5 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/8. Spacy Fill the Configuration.srt9.2 KB
~Get Your Files Here !/4. Training Named Entity Model (NER)/9. Spacy Prepare Data.mp448.1 MB
~Get Your Files Here !/4. Training Named Entity Model (NER)/9. Spacy Prepare Data.srt10.8 KB
~Get Your Files Here !/5. Predictions/1. Import Required Libraries.mp48.5 MB
~Get Your Files Here !/5. Predictions/1. Import Required Libraries.srt2.4 KB
~Get Your Files Here !/5. Predictions/10. Join token dataframe with Pytesseract data.mp464.1 MB
~Get Your Files Here !/5. Predictions/10. Join token dataframe with Pytesseract data.srt12.8 KB
~Get Your Files Here !/5. Predictions/11. Bounding Box and Tagging Predicted Entities.mp451.4 MB
~Get Your Files Here !/5. Predictions/11. Bounding Box and Tagging Predicted Entities.srt8.9 KB
~Get Your Files Here !/5. Predictions/12. Combine the BIO information.mp444.3 MB
~Get Your Files Here !/5. Predictions/12. Combine the BIO information.srt7.9 KB
~Get Your Files Here !/5. Predictions/13. Bounding Box.mp468.6 MB
~Get Your Files Here !/5. Predictions/13. Bounding Box.srt13.2 KB
~Get Your Files Here !/5. Predictions/2. Clean Text Function.mp45.9 MB
~Get Your Files Here !/5. Predictions/2. Clean Text Function.srt1.4 KB
~Get Your Files Here !/5. Predictions/3. Load Spacy NER Model.mp410.7 MB
~Get Your Files Here !/5. Predictions/3. Load Spacy NER Model.srt2.3 KB
~Get Your Files Here !/5. Predictions/4. Extract Text from Image and Convert into Data Frame.mp436.8 MB
~Get Your Files Here !/5. Predictions/4. Extract Text from Image and Convert into Data Frame.srt5.5 KB
~Get Your Files Here !/5. Predictions/5. Convert Data Frame into Content.mp414.9 MB
~Get Your Files Here !/5. Predictions/5. Convert Data Frame into Content.srt2.5 KB
~Get Your Files Here !/5. Predictions/6. Get Named Entities from model.mp424.1 MB
~Get Your Files Here !/5. Predictions/6. Get Named Entities from model.srt3.2 KB
~Get Your Files Here !/5. Predictions/7. Displacy render.mp47.1 MB
~Get Your Files Here !/5. Predictions/7. Displacy render.srt1.0 KB
~Get Your Files Here !/5. Predictions/8. Tagging Each Word.mp439.3 MB
~Get Your Files Here !/5. Predictions/8. Tagging Each Word.srt6.6 KB
~Get Your Files Here !/5. Predictions/9. Join Label to tokens dataframe.mp424.2 MB
~Get Your Files Here !/5. Predictions/9. Join Label to tokens dataframe.srt4.6 KB
~Get Your Files Here !/Bonus Resources.txt357 bytes
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