Welcome to my blog! You can find an organized directory of my posts on this page.

New? Click here for an introduction.

#### Just for Fun

- [Ongoing] : Book Reviews!
- 3/13/20: Five things I learned from my first job out of college
- 3/10/20: Economics/Statistics projects from my undergraduate degree
- 3/08/20: A List of Favorites, circa 2017

**Kaggle Data Science Competition Write-ups [GitHub]:**

- 7/01/20: Tweet Sentiment Extraction (+ Python code)
- 5/18/20: House Prices: Advanced Regression Techniques
- 5/07/20: Titanic: Machine Learning from Disaster

#### Reference Material

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**Notes on predictive modeling and using the ***caret* package in R; based on **Applied Predictive Modeling** by Kuhn and Johnson.

*caret*package in R

- 5/11/20: Introduction and Overview of Content
- 5/12/20: Data Pre-Processing
- 5/13/20: Model Tuning and Overfitting
- 5/18/20: Regression

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**Notes on statistical learning**; based on **Intro to Statistical Learning** by James, Witten, Hastie, and Tibshirani.

- 4/21/20: An Introduction to Statistical Learning
- 4/22/20: Linear Regression
- 4/24/20: Classification
- 4/25/20: Resampling Methods
- 4/27/20: Linear Model Selection and Regularization
- 4/30/20: Moving Beyond Linearity
- 5/01/20: Tree-Based Methods
- 5/02/20: Support Vector Machines
- 5/04/20: Unsupervised Learning

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**Notes on using R for data science**; based on **R for Data Science** by Grolemund and Wickham.

- 2/12/20: Basic Data Visualization in R
- 2/15/20: Basic Data Transformation in R
- 2/16/20: Basic Data Exploration in R
- 2/17/20: High-Level Data Wrangling in R: Imports, Pivots, and Joins
- 2/18/20: Data Wrangling in R: Strings
- 2/21/20: Data Wrangling in R: Factors
- 2/22/20: Data Wrangling in R: Dates and Times
- 2/24/20: Programming in R: Pipes, Functions, and Vectors
- 2/24/20: Programming in R: Iteration
- 2/28/20: Model Building in R
- 3/04/20: Creating Simple Documents with R Markdown
- 3/05/20: Graphing in R for Effective Communication