An edition of Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
(2020)
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
by Tarek Amr
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Science| Edition | Availability |
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1
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
2020, Packt Publishing
Paperback; eBook
in English
1838826041 9781838826048
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Book Details
Table of Contents
Part 1. Supervised Learning
Chapter 1. Introduction to Machine Learning & Scikit-Learn
Chapter 2. Making Decisions with Trees
Chapter 3. Making decisions with linear equations
Chapter 4. Preparing Your Data
Chapter 5. Image processing with nearest neighbors
Chapter 6. Text Classification - Not all data exists in tables
Part 2. Advanced Supervised Learning
Chapter 7. Neural Networks - Here comes the Deep Learning
Chapter 8. Ensembles - When one model is not enough
Chapter 9. The Y is as important as the X
Chapter 10. Imbalanced Learn - Not even 1% win the lottery
Part 3. Unsupervised Learning and More
Chapter 11. Clustering - Grouping data when no correct answers are provided
Chapter 12. Anomaly Detection - Finding Outliers in Data
Chapter 13. Recommender System - Learning about users’ taste from their previous interactions
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- Created September 16, 2020
- 6 revisions
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| September 21, 2021 | Edited by ImportBot | import existing book |
| September 16, 2020 | Edited by gr33ndata | meta data - 1st edit |
| September 16, 2020 | Edited by gr33ndata | Added new cover |
| September 16, 2020 | Edited by gr33ndata | Added new cover |
| September 16, 2020 | Created by gr33ndata | Added new book. |