01-introduction.Rmd

(ref:introsepart) Data Science Foundations

```{r echo=FALSE, results="asis", purl=FALSE}
cat("# (PART) Data Science Foundations {-} ")
```


```{r, include=FALSE}
knitr::opts_chunk$set(
  collapse = TRUE, comment = "#>"
)
```

```{r child="notebooks/chapter1-R/01-introR.Rmd", echo=TRUE}
```



# Introduction to Linear Regression {#introLinearReg}

Acknowledgements: this chapter is adapted and updated from the materials originally produced by STAT1005 teaching team, especially Prof. Jeff Yao.

```{r child="notebooks/chapter2-LR/02-linearReg-01.Rmd", echo=TRUE}
```

```{r child="notebooks/chapter2-LR/02-linearReg-02.Rmd", echo=TRUE}
```

```{r child="notebooks/chapter2-LR/02-linearReg-03.Rmd", echo=TRUE}
```

```{r child="notebooks/chapter2-LR/02-linearReg-04.Rmd", echo=TRUE}
```

```{r child="notebooks/chapter2-LR/02-linearReg-05.Rmd", echo=TRUE}
```



# Introduction to Classification {#introClassifier}

```{r child="notebooks/chapter3-CL/03-classifier-01.Rmd", echo=TRUE}
```

```{r child="notebooks/chapter3-CL/03-classifier-02.Rmd", echo=TRUE}
```

```{r child="notebooks/chapter3-CL/03-classifier-03.Rmd", echo=TRUE}
```


# Introduction to Hypothesis testing {#introHypoTest}

```{r child="notebooks/chapter4-HT/04-hypothesis-test-01.Rmd", echo=TRUE}
```

```{r child="notebooks/chapter4-HT/04-hypothesis-test-02.Rmd", echo=TRUE}
```