Data Science Concepts and Practice - Vijay Kotu, Bala Deshpande - Book Information - Contents

 

Table of contents

1. Introduction

2. Data Science Process

3. Data Exploration

4. Classification

5. Deep Learning

6. Regression Methods

7. Association Analysis

8. Recommendation Engines

9. Clustering

10. Text Mining (renamed to: Natural Language Processing)

11. Time Series Forecasting

12. Anomaly Detection

13. Feature Selection

14. Model Evaluation

15. Efficient Model Execution

16. Getting Started with RapidMiner