Textbook in PDF format
Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics.
Preface
Introduction
Data, sources, and generation
Data preparation
Machine learning
Regression
Classification
Artificial neural networks
Feature selection
Cluster analysis
Ensemble learning
Association-rule mining
Big Data analysis
Data Science in practice
Conclusion