"Stock Scraper"
Stock Scraper is a front to back data science project which utilizes essentially every major aspect of a typical data science lifecycle. It consists of everything from web scraping and data management to exploratory data analysis and machine learning. The end goal of this project is to construct a LTSM neural network model that uses both fundamental and technical indicators to forecast stock prices of interest.