NumPy, Pandas, and Scikit-learn Masterclass : Applied data wrangling and machine learning projects with Python (English Edition)
Description Data is the driving force of today's digital economy, and the ability to wrangle, analyze, and model it effectively has become a vital skill across industries. Python's powerful ecosystem, led by libraries like NumPy, Pandas, and Scikit-learn, enables professionals to transform...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365898293.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • NumPy, Pandas, and Scikit-learn Masterclass, Applied data wrangling and machine learning projects with Python (English Edition), Gary Hutson, New Delhi, BPB Publications, 2025, 1 vol. (693 p.), 978-93-6589-829-3 |
Obsah:
- 1. Overview of NumPy and Pandas
- 2. Introduction to Scikit-learn for Machine Learning
- 3. Supervised Binary Classification
- 4. Supervised Multi-class Classification
- 5. Customer Segmentation with Unsupervised Methods
- 6. House Price Estimation with Regression Methods
- 7. Handwritten Digits Dimensionality Reduction
- 8. Time Series with Scikit-learn
- 9. Model Improvement Strategies
- 10. Building Multi-step Pipelines
- 11. Getting Deep with Deep Neural Networks
- 12. Deploying Your Machine Learning Application
- 13. Machine Learning Future Trends and Ethical Considerations