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Data Science Workshop eBook

Learn How You Can Build Machine Learning Models And Create Your Own Real-World Data Science Projects

de Andrew Worsley, Anthony So, Dr. Samuel Asare, Robert Thas John e Thomas V. Joseph
idioma: inglês
Editor: PACKT PUBLISHING, agosto de 2020 ‧
35,76€
10% DESCONTO CARTÃO
DISPONIBILIDADE IMEDIATA
Ebook para ADE
Key Features
  • Gain a full understanding of the model production and deployment process
  • Build your first machine learning model in just five minutes and get a hands-on machine learning experience
  • Understand how to deal with common challenges in data science projects
    • What you will learn

    • Explore the key differences between supervised learning and unsupervised learning
    • Manipulate and analyze data using scikit-learn and pandas libraries
    • Understand key concepts such as regression, classification, and clustering
    • Discover advanced techniques to improve the accuracy of your model
    • Understand how to speed up the process of adding new features
    • Simplify your machine learning workflow for production
      • Who this book is for

        This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going through all the mathematics behind machine learning algorithms. Basic knowledge of the Python programming language will help you easily grasp the concepts explained in this book.]]>

Data Science Workshop

Learn How You Can Build Machine Learning Models And Create Your Own Real-World Data Science Projects

de Andrew Worsley, Anthony So, Dr. Samuel Asare, Robert Thas John e Thomas V. Joseph

Propriedade Descrição
ISBN: 9781800569409
Editor: PACKT PUBLISHING
Data de Lançamento: agosto de 2020
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade:
Classificação Temática: eBooks em Inglês > Informática > Programação
eBooks em Inglês > Outros
EAN: 9781800569409
Acessibilidade: Ver características de acessibilidade indicadas pelo editor