Projects
Data Mining Project: Predictive Model for Depression
In class we were tasked to create a business problem that needed to be solved, find data, perform exploratory data analysis, build models, and ultimentally select the best model. We used Excel and Orange to preform Data Collection, Data Cleaning, Data Transformation, Data Modeling, and Data Understanding.
Data Wranging Project: Analysis of S&P 500 company financial markers vs. ESG (environmental, social, goverment) scores.
This project entails data collection from Kaggle as well as Webscraping. We used Python to webscrape for ESG scores. Next we were tasked to create 3 reaseach questions and create univariate/bivariate analysis and visualizations, as well as selecting and coding models to help answer those questions in Python.