Module 5: Machine Learning with R
Chapter 1: Introducing Machine Learning
|
Q1 |
2 & 3 |
Chapter 2: Managing and Understanding Data
|
Q1 |
4 |
Chapter 3: Lazy Learning – Classification Using Nearest Neighbors
|
Q1 |
1 |
Chapter 4: Probabilistic Learning – Classification Using Naive Bayes
|
Q1 |
4 |
|
Q2 |
2 |
Chapter 5: Divide and Conquer – Classification Using Decision Trees and Rules
|
Q1 |
1 |
Chapter 6: Forecasting Numeric Data – Regression Methods
|
Q1 |
3 |
Chapter 7: Black Box Methods – Neural Networks and Support Vector Machines
|
Q1 |
3 |
Chapter 8: Finding Patterns – Market Basket Analysis Using Association Rules
|
Q1 |
2 |
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