Python Projects
Movies Analysis
Movie analysis from 1986 to 2016 was performed in Anaconda. Data was imported as a csv file, cleaned, and transformed for regression analysis. The main insight from performing a correlation matrix on the data was that only budget and viewer votes had the highest impact on gross sales for a movie among several different fields.
Dataset Size: 7500 rows
Skills Displayed: Data Cleaning, Data Transformation, Manipulation of Datetime Data, Regression Analysis, Correlation Analysis, Codifying Categorical Data, For Loops
Click here to view the code.
Amazon Web Scraper
This scaper extracts title of product from a url on Amazon and it's price every day. It will email you if price goes below a threshold.
Skills Displayed: Web Scraping in Python, Creating Time Series Datasets
Click here to view the code.
