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Machine Learning: Introduction to Machine Learning with R
Introduction
01 - Welcome to Machine Learning (3:34)
02 - Introduction to Machine Learning (6:19)
03 - R Machine Learning Task View (2:39)
Validation Methods
04 - Introduction to Validation (5:54)
05 - Cross Validation in R (6:32)
06 - Cross Validation Exercise (7:30)
07 - Further R Exercises (2:39)
Classification
08 - Introduction to Classification (10:18)
09 - KNN - K Nearest Neighbors (5:51)
10 - Linear Discriminant Analysis (5:43)
11 - Logistic Regression for Classification (6:09)
12 - Classification Exercises (6:40)
Tree Based Models
13 - Introduction to Tree Based Models (6:52)
14 - Trees in R (5:48)
15 - Tree Error Rates (4:04)
16 - Random Forests (7:11)
17 - Tree Based Models Exercise (4:55)
Clustering
18 - Introduction to Clustering (5:04)
19 - K Means Clustering (3:47)
20 - Hierarchical Clustering (3:27)
21 - Clustering Exercise (10:21)
Quiz 1: Machine Learning Quiz
22 - Course Links
23 - Course Script
11 - Logistic Regression for Classification
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