Fatima Siddiqui
Data Science
This page contains my practical experience and techniques to better understand data science applications.
01
A dashboard was built to extract financial data like historical share price and quarterly revenue reporting from various sources including web-scraping on popular stocks.
02
Data science analysis is applied to determine the market price of houses by fitting the data with linear regression and predicting prices through pipelining which are further evaluated using ridge regression and R^2.
03
Data visualization of US Domestic airlines through graphing various data models with Python to assess flight performance.
https://github.com/blipblopblop/DashboardApp_AirlinePerformance
04
Data analytics techniques within matrix algebra were used to facially reconstruct using scattered pixelated.
