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Selena Romero

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STA 6543 - Selena Romero - Assignment 8
ISLR Chapter 9 - Support Vector Machines Problems 5, 8, and 9
STA 6543 - Selena Romero - Assignment 7
Chapter 7: Tree-Based Models, Random Forest, and Gradient Boosted Models with the Carseats and OJ Datasets
STA 6543 - Selena Romero - Assignment 6
Chapter 7 - Moving Beyond Linearity with Polynomials & GAM
STA 6543 - Selena Romero - Assignment 5
Best Subset, Ridge Regression, Lasso, PCR, and PLS
STA 6543 - Selena Romero - Assignment 4
Resampling Methods - Validation Set, Cross Validation and Bootstrapping
STA 6543 - Selena Romero - Assignment 3
Classification Methods: Logistic Regression, LDA, QDA, and KNN Analysis (Chapter 4)
STA 6543 - Selena Romero - Assignment 2
Assignment 2: Linear Regression (Chapter 3)
English Learners in Texas
School District Data that displays the # of English Learners per district
Romero_RFinalProject_STA4233
Working with Leaflet to map graffiti locations in R.
STA 4143_Homework 8_Romero
Working support vector machine models to classify outcome variables.
STA 4143_Homework 7_Romero
Performing decision tree analysis and making predictions.
STA 4143_Homework 6_Romero
Working with predictive analysis through polynomial regression and step functions using cross validation. Additionally fitting GAMs to help understand regression.
STA 4143_Homework 5_Romero
Explores regression methods such as Best Subset Selection, PCR, PLS, Ridge, and Lasso
STA 4143_Homework4_Romero
Answers questions 3, 5, 6, and 9.
STA4143_Homework3_Romero
Answers questions 10, 11, and 13
STA4143_Homework2_Romero
Answers questions 2, 9, 10, and 12
Earthquakes off Fiji
Assignment: Create a web page that features a map created with Leaflet. You can use R markdown. Host your webpage on RPubs. Your webpage must contain the date that you created the document, and it must contain a map created with Leaflet.