chicago_crime

Focus: Show a temporal space on Chicago crime.

credit-risk-assessment

evaluating credit default rate using statistical machine learning methods

creditdefaultrisk

Utilized machine learning algorithms like logistic regression and linear discriminant analysis to predict whether an individual will default on a credit loan. Performance was calculated using metrics like Accuracy, Confusion Matrices, Classification Reports, and the Area Under the ROC curve.

health-economics-projects

health-insurance

Created data visualizations on patient insurance data from kaggle. Exploratory Data Analysis, OLS Regression, Multiple Linear Regression, Lasso Regression, Ridge Regression, Model Analysis

healthcare-data-sql

sql basics using synthetic healthcare data generated from synthea

heart-disease-prediction

Used matplotlib to create visualizations of patient data varying on the different predictors. Utilized K-Nearest Neighbor, Decision Tree, and Random Forest algorithms to predict a binary response to whether a patient has a heart condition. Performance was measured using Accuracy, Confusion Matrices, and Classification Reports.

heathcare-stock

data manipulation of historical stock data from the past 5 years from yahoo finance using pandas

immunization

SQL/Tableau Project :: data extract and data vizualization

insurance-premium

Analyzing health insurance premium costs using Box-Cox regression and Gamma regression

n8tmps

n8tmps.github.io

regression-analysis-models

Regression models in R that analyze how changes in independent variables impact responses with normal, gamma, binary, multinomial, Poisson, negative binomial, and beta distributions.