Pradyumna (Erdos1729)

Erdos1729

Geek Repo

Company:Enverus

Location:Bangalore

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Pradyumna's repositories

protected-pdf-file-downloader

This repository will help you to download protected PDF files from Google Drive and other websites with simple steps.

food-demand-forecasting

This repository will work around solving the problem of food demand forecasting using machine learning.

Language:Jupyter NotebookLicense:MITStargazers:7Issues:1Issues:0

text-classification-ml

Application of various text classification algorithms on multiple datasets.

Language:Jupyter NotebookLicense:MITStargazers:4Issues:1Issues:0

scrape-urls-from-multiple-websites

This repository will help you to download all the press releases from multiple websites. A simple way to build a custom database of press releases without any manual efforts.

Language:PythonStargazers:2Issues:1Issues:0

automated-snapshot-of-annotated-content-in-pdfs

This repository will automate the process of saving snapshots of highlighted content within multiple pdf files.

Language:PythonStargazers:1Issues:1Issues:0

scrape-urls-from-multiple-websites-2.0

This repository will help you to extract all the urls reported on a website and save it in an excel file. This code works on multiple weblinks provided in a csv file and thus saves you a lot of manual work. If you are working on scouting multiple websites for identifying press releases, presentations, annual reports etc., this code will come in handy and save alot of man-hours.

Language:PythonStargazers:1Issues:1Issues:0

webscrapping-identify-download-classify-published-pdfs-from-multiple-urls

This repository will assist you in scrapping data from multiple websites. It will identify, download and classify the latest pdf files published on a website as per the users requirement. This can be used for automating various operations involved in market research.

Language:PythonStargazers:1Issues:2Issues:0

quickbase-mass-upload

This repository will help you to upload multiple files (images, excel, pdfs etc.) on QuickBase very quickly. All you need to do is to enter the target links to QuickBase database and the source links of all the files on your local directory.

Language:PythonStargazers:0Issues:1Issues:0