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)

Doing additional data preparation

In this section, we will see how additional preparation done on the data can allow us to extract an extra piece of information.

Until now, we have improved our model by modifying its options, using a different model, changing the perspective of looking at data, and removing noise. Sometimes though, these techniques will just slightly improve the model; but if you could go back to the data preparation phase and look for extra bits that can be pulled from the data that can give better results, this can really go a long way in improving accuracy.

Preparing the data

Follow these steps to prepare the data in the data preparation stage:

  1. Get your data and partition it.
  2. Run a Neural Net model again...