Applied Supervised Learning with Python
Langue : anglais
Edité par Packt Publishing, 2019
- Livre broché
- Neuf
Vendeur : preigu, Osnabrück, Allemagnepreigu
Vendeur AbeBooks depuis 5 août 2024
Etat: Neuf
EUR 59,30
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Applied Supervised Learning with Python | Benjamin Johnston (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781789954920 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
N° de réf. du vendeur 116542584
- Titre
- Applied Supervised Learning with Python
- Auteur
- Benjamin Johnston (u. a.)
- Éditeur
- Packt Publishing
- Année de publication
- 2019
- État de l'article
- Neu
- Reliure
- Taschenbuch
- Langue
- anglais
- ISBN à 10 chiffres
- 1789954924
- ISBN à 13 chiffres
- 9781789954920
- Poids de l'article
- 751 grammes
- Dimensions
- 235 x 191 x 22 mm
- Catalogues du vendeur
- Bücher
Explore the exciting world of machine learning with the fastest growing technology in the world
Key Features
- Understand various machine learning concepts with real-world examples
- Implement a supervised machine learning pipeline from data ingestion to validation
- Gain insights into how you can use machine learning in everyday life
Book Description
Machine learning―the ability of a machine to give right answers based on input data―has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic and commercial circles with in-line code running support.
With the help of fun examples, you'll gain experience working on the Python machine learning toolkit―from performing basic data cleaning and processing to working with a range of regression and classification algorithms. Once you've grasped the basics, you'll learn how to build and train your own models using advanced techniques such as decision trees, ensemble modeling, validation, and error metrics. You'll also learn data visualization techniques using powerful Python libraries such as Matplotlib and Seaborn.
This book also covers ensemble modeling and random forest classifiers along with other methods for combining results from multiple models, and concludes by delving into cross-validation to test your algorithm and check how well the model works on unseen data.
By the end of this book, you'll be equipped to not only work with machine learning algorithms, but also be able to create some of your own!
What you will learn
- Understand the concept of supervised learning and its applications
- Implement common supervised learning algorithms using machine learning Python libraries
- Validate models using the k-fold technique
- Build your models with decision trees to get results effortlessly
- Use ensemble modeling techniques to improve the performance of your model
- Apply a variety of metrics to compare machine learning models
Who this book is for
Applied Supervised Learning with Python is for you if you want to gain a solid understanding of machine learning using Python. It'll help if you to have some experience in any functional or object-oriented language and a basic understanding of Python libraries and expressions, such as arrays and dictionaries.
Table of Contents
- Python Machine Learning Toolkit
- Exploratory Data Analysis and Visualization
- Regression Analysis
- Classification
- Ensemble Modeling
- Model Evaluation
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.
preigu
Osnabrück, Allemagne
Vendeur AbeBooks depuis 5 août 2024
Frais d'expédition de Allemagne vers Etats-Unis
| Article | 60 à 60 jours ouvrés | 60 à 60 jours ouvrés |
|---|---|---|
| Premier article | EUR 70,00 | EUR 70,00 |
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