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assets: contains all the datasets and different plots
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data_pickles: Datasets split vectors stored as pickle files
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news: virtual Environment
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notebooks: ALl the training notebooks also contains notebook for scraping
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report: Files related to report submission of the project
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src: Major folder
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src/models: contains trained model as pickle format
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src/scrapping: Scripts related to scrapping a website
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src/static: static file related to web app e.g images or css files
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src/templates: html file to run the web apps
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src/clean_text.py: Scripts for raw text cleaning
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src/features.py: Script for tfidf feature generation
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src/train_classifier: look at the notebook for training the model. This script is incomplete right now.
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src/visualize.py: scripts for plotting different graphs