Nathaniel Talampas (n8tmps)

n8tmps

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Company:California State University, Long Beach

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Nathaniel Talampas's repositories

airbnb-analysis-sd

sql data analysis on san diego airbnb listings data

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chicago_crime

Focus: Show a temporal space on Chicago crime.

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cirrhosis-survival-analysis

survival analysis on cirrhosis data from mayo clinic study: kaplan-meier estimator/curve, log rank test, cox proportional hazards model

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credit-risk-assessment

evaluating credit default rate using statistical machine learning methods

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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.

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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

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healthcare-data-sql

sql basics using synthetic healthcare data generated from synthea

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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.

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heathcare-stock

analysis on historical stock data using moving averages, weekly returns, principal component analysis

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insurance-premium

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

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immunization

SQL/Tableau Project :: data extract and data vizualization

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medicare-spending

medicare data analysis

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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.

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web

My portfolio website built using HTML, CSS, and JavaScript.

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