General-purpose machine learning frameworks.
data_version_control - Self-Improvement project to learn how data version control(DVC) works. This consists of some general machine learning algorithm code.
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train.py : train script
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featurization.py: feature extraction script to train the model
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prepare.py: data-preparation script to prepare data
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evaluate.py: Eval script to eval/test performance of the model
scripts - Few handy scripts for regular usage
- delete_ds_store.py : Delete the DS.Store present in tree structure
- print_tensors.py : Print i/o tensors
- rename_files.py : Rename image files
- resize_images.py : Resize the images in folder tree structure
- split_files_.py : Split files to train, test and valid
- text_formatting.py : Text formatting and string operations
- tfrecords_format2.py : Convert the format to tfrecords format
web_scraping - Web scraping hobby project
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Find_and_Email_webscrap.py : Email the person using python script
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HTML_Beautifulsoup_Application_webscrape.py: Scrape the application using BeautifulSoup
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HTML_Beautifulsoup_basics_webscrape.py: Webscraping practise