Book Image

Machine Learning for Data Mining

By : Jesus Salcedo
Book Image

Machine Learning for Data Mining

By: Jesus Salcedo

Overview of this book

Machine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data. This book will help you improve your data mining techniques by using smart modeling techniques. This book will teach you how to implement ML algorithms and techniques in your data mining work. It will enable you to pair the best algorithms with the right tools and processes. You will learn how to identify patterns and make predictions with minimal human intervention. You will build different types of ML models, such as the neural network, the Support Vector Machines (SVMs), and the Decision tree. You will see how all of these models works and what kind of data in the dataset they are suited for. You will learn how to combine the results of different models in order to improve accuracy. Topics such as removing noise and handling errors will give you an added edge in model building and optimization. By the end of this book, you will be able to build predictive models and extract information of interest from the dataset
Table of Contents (7 chapters)

Models

There are three different types of predictive models:

  • Statistical models
  • Decision tree models
  • Machine learning models

Statistical models

The first thing that the statistical models identify is which predictors are most important in a model. The statistical models also create an equation that allows you to make predictions. For example, as we can see in the following screenshot, the coefficients that are part of the prediction equation have been highlighted:

The following screenshot highlights the equation to predict current salaries:

In the following screenshot, we can see that we take the coefficient for the variable beginning salary and we multiply it by the actual beginning salary:

Now, we take the coefficient...