Popular machine learning algorithms
There are various different classes of machine learning algorithms. As such, since algorithms can belong to multiple 'classes' or categories at the same time at a conceptual level, it is hard to specifically state that an algorithm belongs exclusively to a single class. In this section, we will briefly discuss a few of the most commonly used and well-known algorithms.
These include:
- Regression models
- Association rules
- Decision trees
- Random forest
- Boosting algorithms
- Support vector machines
- K-means
- Neural networks
Note that in the examples, we have shown the basic use of the R functions using the entire dataset. In practice, we'd split the data into a training and test set, and once we have built a satisfactory model apply the same on the test dataset to evaluate the model's performance.
Regression models
Regression models range from commonly used linear, logistic, and multiple regression algorithms used in statistics to Ridge and Lasso regression, which penalizes...
