Learn the basics of Data Science through an easy to understand
conceptual framework and immediately practice using RapidMiner
platform. Whether you are brand new to data science or working on
your tenth project, this book will show you how to analyze data,
uncover hidden patterns and relationships to aid important
decisions and predictions. Data Science has become an essential
tool to extract value from data for any organization that collects,
stores and processes data as part of its operations. This book is
ideal for business users, data analysts, business analysts,
engineers, and analytics professionals and for anyone who works
with data. You'll be able to: Gain the necessary knowledge of
different data science techniques to extract value from data.
Master the concepts and inner workings of 30 commonly used powerful
data science algorithms. Implement step-by-step data science
process using using RapidMiner, an open source GUI based data
science platform Data Science techniques covered: Exploratory data
analysis, Visualization, Decision trees, Rule induction, k-nearest
neighbors, Naive Bayesian classifiers, Artificial neural networks,
Deep learning, Support vector machines, Ensemble models, Random
forests, Regression, Recommendation engines, Association analysis,
K-Means and Density based clustering, Self organizing maps, Text
mining, Time series forecasting, Anomaly detection, Feature
selection and more...
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