README.Rmd

---
title: "Predictive modeling with R"
date: "2021-02-25"
author: Issac Lee
output: md_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```


# Lecture Slides

- Lecture 1: [Git, RMarkdown & Portfolio](lecture/lec1.html)

- Lecture 2: [dplyr and ggplot2](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec2.html)

- Lecture 3: [tidyr and purrr](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec3.html)

- Lecture 4: [Linear regression](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec4.html)

- Lecture 5: [Cross validation with tidymodels](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec5.html)

- Lecture 6: [Tree based models](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec6.html)

- Lecture 7: [Boosted Tree](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec7.html)

- Lecture 8: [GLM](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec8.html)

- Lecture 9: [Deep learning in R](https://issactoast.github.io/predictivemodeling-with-r/lecture/lec9.html)

- Lecture 10: [Deep learning in R](https://issactoast.github.io/predictivemodeling-with-r/lecture/deeplearning-intro/deeplearning-intro.html)