dicky0223's Stars
scorpionhiccup/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
LastAncientOne/Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
semasuka/Credit-card-approval-prediction-classification
Credit risk analysis for credit card applicants
J700070/Stock-Analyzer-Python
Real time scrapping of stock data in order to get the most recent available information. Cleaning, structuring and parsing of relevant data to provide an interactive and informative dashboard. Dashboard features include: Price history (chart) Basic information (name, sector, industry, market cap...) Insider and institutional ownership information Share return over the years (absolute growth and cagr) Business summary Earnings & growth analysis (revenue, gross profit. EBITDA, net income, free cash flow...) Profitability analysis (roa, roe, roic, gross profit margin, net income margin...) Financial health analysis (debt to equity, interest coverage, quick ratio, current ratio...) Valuation analysis (p/e, p/s, p/b, p/fcf, peg) + Discounted Cash Flow Model
the-dataface/Newspaper-Scrapers
Scrape article metadata from major media outlet's websites, including NYT, WaPo, WSJ. Built on top of the Newspaper Python Library (https://github.com/codelucas/newspaper).
MohamedCS1/ouedkniss_scraping
Web scraping is the process of collecting structured web data in an automated fashion. It’s also called web data extraction. Some of the main use cases of web scraping include price monitoring, price intelligence, news monitoring, lead generation, and market research among many others.