An Asthma risk predictor using machine learning by the help of dataset
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Updated
Dec 2, 2023 - Python
An Asthma risk predictor using machine learning by the help of dataset
Simple project for acquiring currency data from a website to integrate it into the steps of ETL pipeline and applying some process of exchanging rate that comes from a csv file.
This app scrap the GitHub and show summary table of all the trading repositories.
Telegram Music Bot written in Python.
Learning platform
2020년도 1학기 개인 프로젝트 : 아마존 웹 사이트 검색 프로그램 개발
This project builds a local index engine using Whoosh and SpaCy with the purpose of implementing a proof of concept AI type application that can index the content of websites. It also allows to perform search queries and make questions in plain English, and then it either displays relevant matching content or answers to the question.
A web application that helps job seekers find jobs and learn about skills needed in a specific tech space
I have demostrated in this notebook how to scrape Amazon and Wikipedia websites, stored output as csv format being the widely used format, and send notification to user when certain criteria are met.
Neste projeto foi desenvolvido uma aplicação para raspagem e manipulação de dados de um site de notícias sobre tecnologia. Esses dados serão armazenados no banco de dados MongoDB para serem persistidos.
Web scraping tool written in python
This project used Python with libraries requests, BeautifulSoup, and Selenium to parse [https://careerspace.app/] for job vacancy data. Selenium was used to access dynamic elements, while BeautifulSoup extracted job title, company, location, salary, and description. The results could be used for job searching or analyzing job market trends.
A Website to seach for any kind of photos you need
A python scrapper for the announcementas of the greek trains using beautifulsoup4 and fastapi
A simple wrapper over the API of the site with the tram schedule izhget
Este proyecto utiliza Python y BeautifulSoup para realizar web scraping en la página del Boletín Oficial de Argentina. Extrae datos relevantes como fechas de publicación, títulos de normativas, enlaces y textos de las normas, almacenándolos en un DataFrame.
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