In this book, we have mainly used the following five machine learning algorithms that fit into and work the best for our marketing use cases: logistic regression, random forests, ANN, k-means clustering, and collaborative filtering. However, there are many more readily available machine learning algorithms that you may find useful for your future data science and machine learning projects. We will be covering some of the other frequently used machine learning algorithms, what packages to use in Python and R, and where to find more information on these algorithms.
Some of the other machine learning algorithms to consider in your future projects are the following:
- Nearest neighbors: This is a machine learning algorithm that finds the pre-defined number of closest samples to a new data point. Even though the concept of this algorithm sounds...
