Final for algorithms 2. The goal was to use classification models in order to predict if a person would become a donor, or not. Link to report: https://docs.google.com/document/d/1gIuPnINAVrOpAAN32MqTIy_mUMkhE2igvgDhHZ22MQo/edit?usp=sharing

Using ARCH & GARCH models, ARIMA, interpreting ACF & PACF plots, and making predictions.

Using Exponential Smoothing as well as ARCH & GARCH

ISLR: Chapter 9. Problems 5,7,and8

Assignment 7, Chapter 8 ISLR.

Numbers 6 and 10

Time series analysis in r.

ISLR Chapter 6 questions 2, 9, 11. Working with Lasso, Ridge Regression, Principle Component Analysis, and Partial Least Squares.

Chapter 5 or ISLR. Problems 3,5,6, and 9.

ISLR problems 10,11,13 for Algorithms II.

Chapter 3 of ISLR, question 2, 9,10,12. Algorithms II.

Working with logistic regression.

Working with simple and multiple linear regression and its interpretation.

Anova modeling and its interpretation.

Working with one and two sample inferential tests in r and their interpretation.

Here I display working knowledge of ggplot within rmarkdown.

A few example charts I created in the Visualization and Communication class in the University of Texas at San Antonio Master of Science in Data Analytic Program.