797ML Handbook
1
About
1.1
Authoring guidelines
1.2
Contact
1.3
Resources
2
Simple Linear Regression
2.1
TL;DR
2.2
What it does
2.3
When to do it
2.4
How to do it
2.5
How to assess it
2.6
Where to learn more
2.7
Notes
3
Multiple Linear Regression
3.1
TL;DR
3.2
What it does
3.3
When to do it
3.4
How to do it
3.5
How to assess it
3.6
Where to learn more
4
Logistic Regression
4.1
TL;DR
4.2
What it does
4.3
When to do it
4.4
How to do it
4.5
How to assess it
4.6
Where to learn more
4.7
Notes
5
Linear Discriminant Analysis (LDA)
5.1
TL;DR
5.2
What it does
5.3
When to do it
5.4
How to do it
5.5
How to assess it
5.6
Where to learn more
6
Quadratic Discriminant Analysis
6.1
TL;DR
6.2
What it does
6.3
When to do it
6.4
How to do it
6.5
How to assess it
6.6
Where to learn more
7
Naive Bayes
7.1
TL;DR
7.2
What it does
7.3
When to do it
7.4
How to do it
7.5
How to assess it
7.6
Where to learn more
8
K-Nearest Neighbors
8.1
TL;DR
8.2
What it does
8.3
When to do it
8.4
How to do it
8.5
How to assess it
8.6
Where to learn more
9
TODO: Poisson Regression
9.1
TL;DR
9.2
What it does
9.3
When to do it
9.4
How to do it
9.5
How to assess it
9.6
Where to learn more
10
TODO: Cross-Validation
10.1
TL;DR
10.2
What it does
10.3
When to do it
10.4
How to do it
10.5
How to assess it
10.6
Where to learn more
11
TODO: Bootstrap
11.1
TL;DR
11.2
What it does
11.3
When to do it
11.4
How to do it
11.5
How to assess it
11.6
Where to learn more
12
TODO: Best Subset Selection
12.1
TL;DR
12.2
What it does
12.3
When to do it
12.4
How to do it
12.5
How to assess it
12.6
Where to learn more
13
TODO: Stepwise Selection
13.1
TL;DR
13.2
What it does
13.3
When to do it
13.4
How to do it
13.5
How to assess it
13.6
Where to learn more
14
TODO: Ridge Regression
14.1
TL;DR
14.2
What it does
14.3
When to do it
14.4
How to do it
14.5
How to assess it
14.6
Where to learn more
15
TODO: Lasso
15.1
TL;DR
15.2
What it does
15.3
When to do it
15.4
How to do it
15.5
How to assess it
15.6
Where to learn more
16
TODO: Principal Component Regression
16.1
TL;DR
16.2
What it does
16.3
When to do it
16.4
How to do it
16.5
How to assess it
16.6
Where to learn more
17
TODO: Bagging
17.1
TL;DR
17.2
What it does
17.3
When to do it
17.4
How to do it
17.5
How to assess it
17.6
Where to learn more
18
TODO: Random Forests
18.1
TL;DR
18.2
What it does
18.3
When to do it
18.4
How to do it
18.5
How to assess it
18.6
Where to learn more
19
TODO: Boosting
19.1
TL;DR
19.2
What it does
19.3
When to do it
19.4
How to do it
19.5
How to assess it
19.6
Where to learn more
20
TODO: Bayesian Additive Regression Trees
20.1
TL;DR
20.2
What it does
20.3
When to do it
20.4
How to do it
20.5
How to assess it
20.6
Where to learn more
21
TODO: Support Vector Machines
21.1
TL;DR
21.2
What it does
21.3
When to do it
21.4
How to do it
21.5
How to assess it
21.6
Where to learn more
22
TODO: Principal Component Analysis
22.1
TL;DR
22.2
What it does
22.3
When to do it
22.4
How to do it
22.5
How to assess it
22.6
Where to learn more
23
TODO: K-Means Clustering
23.1
TL;DR
23.2
What it does
23.3
When to do it
23.4
How to do it
23.5
How to assess it
23.6
Where to learn more
24
TODO: Hierarchical Clustering
24.1
TL;DR
24.2
What it does
24.3
When to do it
24.4
How to do it
24.5
How to assess it
24.6
Where to learn more
Published with bookdown
797ML Handbook
Chapter 10
TODO: Cross-Validation
10.1
TL;DR
What it does
TODO
When to do it
TODO
How to do it
TODO
How to assess it
TODO
10.2
What it does
TODO
10.3
When to do it
TODO
10.4
How to do it
TODO
10.5
How to assess it
TODO
10.6
Where to learn more
TODO