Opening book details…
Can I read Hands-On Machine Learning with Scikit-learn and Scientific Python Toolkits : A Practical Guide to Implementing Supervised and Unsupervised Machine Learning Algorithms in Python on EtoBox?
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 is a nonfiction available to read on EtoBox.
What is Hands-On Machine Learning with Scikit-learn and Scientific Python Toolkits : A Practical Guide to Implementing Supervised and Unsupervised Machine Learning Algorithms in Python about?
Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problemsKey Features Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python Master the art of data-driven problem-solving with hands-on examples Foster your theoretical and practical knowledge of supervised and unsupervised machine learning algorithms Book Description Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular among machine learning practitioners. This book serves as a practical guide for anyone looking to provide hands-on machine learning solutions with scikit-learn and Python toolkits. The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems. You'll also learn about various key supervised and unsupervised machine learning algorithms using practical examples. Whether it is an instance-based le
Who reads Hands-On Machine Learning with Scikit-learn and Scientific Python Toolkits : A Practical Guide to Implementing Supervised and Unsupervised Machine Learning Algorithms in Python?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Tarek Amr
- Publisher
- Packt Publishing, Limited
- Published
- 2020
- Language
- EN
- ISBN
- 9781838826048
- Category
- nonfiction
- Subjects
- Science, Computer Science, Language Learning
Other editions & translations
More by Tarek Amr
Similar books
- Python Machine Learning : Perform Python Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow — Sebastian Raschka Vahid Mirjalili (2017)
- HANDS-ON MACHINE LEARNING WITH PYTHON : Implement Neural Network Solutions with Scikit-learn And... Pytorch — Ashwin Pajankar; Aditya Joshi (2022)
- HANDS-ON SUPERVISED LEARNING WITH PYTHON : Learn How to Solve Machine Learning Problems With... Supervised Learning Algorithms Using Python — Gnana Lakshmi T C, Madeleine Shang (2021)
- Scikit-learn Cookbook - Second Edition: Over 80 Recipes for Machine Learning in Python with Scikit-learn — Trent Hauck Julian Avila (2017)
- Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python — David Paper (2019)
- Python Programming Workbook For Machine Learning With Pytorch And Scikit-Learn — Adrian M. French (2024)