Mastering Data Mining: A Step-by-Step Guide for Data Scientists
Data mining is the process of extracting knowledge from large datasets. It is a powerful tool that can be used to solve a wide range of problems, from predicting customer churn to identifying fraud. However, data mining can be a complex and challenging task. That's where this book comes in.
5 out of 5
| Language | : | English |
| File size | : | 2098 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 250 pages |
Mastering Data Mining is a comprehensive guide to the fundamentals of data mining. It covers everything from data preparation to model evaluation, with hands-on examples and exercises. This book is perfect for data scientists, data analysts, and anyone else who wants to learn how to use data mining to solve real-world problems.
What You'll Learn
- The fundamentals of data mining
- How to prepare data for mining
- How to select the right data mining algorithms
- How to evaluate the performance of data mining models
- How to apply data mining to real-world problems
Who This Book Is For
- Data scientists
- Data analysts
- Anyone who wants to learn how to use data mining to solve real-world problems
About the Author
Dr. Michael Hahsler is a data scientist and author. He has over 15 years of experience in data mining and machine learning. He is the author of several books on data mining, including Mastering Data Mining and Data Mining for Dummies.
Free Download Your Copy Today
Ready to learn how to master data mining? Free Download your copy of Mastering Data Mining today.
5 out of 5
| Language | : | English |
| File size | : | 2098 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 250 pages |
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5 out of 5
| Language | : | English |
| File size | : | 2098 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 250 pages |
