Projects focusing on machine learning, business analysis case studies, data visualization, and data science
Predicting property prices in Washington using machine learning models including Linear Regression, Lasso Regression, Random Forest, and Xgboost. This project focuses on data cleaning, EDA and Descriptive Statistics, Feature Engineering, and Machine Learning.
My work with creating a machine learning model with Convolutional Neural Networks using VGG19 architecture to detect Glaucoma. The dataset used for this project contains color fundus photographs of left and right eyes for 5000 patients along with diagnostic keywords from doctors.
A business case study revolving around using data to help make marketing strategys. In this project, I focused on the six steps of a data analysis project including Ask, Prepare, Process, Analyze, Share, Act. This project focuses on data cleaning, data analysis, and data visualization.
Analysis on vehicles’ fuel economy in 2008 and 2018 to understand usage of alternative sources of fuel, changes in greenhouse gas and smog ratings over the decade, and vehicle features associated with better fuel economy.
A personal project revolving around Airbnb Data in Toronto. Focus on data cleaning, exploratory data analysis, and spatial data analysis. Created webmap using leaflet library in R.
Predicting the final grades of students using different varibles. This project focuses on linear regression analysis and finding relationships between the ongoing pandemic COVID-19 and a student's performance in the course. This is my final project for STA302: Methods of Data Analysis I.
