hands on data science python von kane frank (18 Ergebnisse)

Zustand: New. In.

Zustand: New.

Paperback or Softback. Zustand: New. Hands-On Data Science and Python Machine Learning: Perform data mining and machine learning efficiently using Python and Spark 1.58. Book.

Paperback. Zustand: New.

Zustand: New.

Digital. Zustand: New. This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.About This Book. Take your first steps in the world of data science by understanding the tools and techniques of data analysis. Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods. Learn how to use Apache Spark for processing Big Data efficientlyWho This Book Is ForIf you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book.What You Will Learn. Learn how to clean your data and ready it for analysis. Implement the popular clustering and regression methods in Python. Train efficient machine learning models using decision trees and random forests. Visualize the results of your analysis using Python's Matplotlib library. Use Apache Spark's MLlib package to perform machine learning on large datasetsIn DetailJoin Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis.Style and approachThis comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

Zustand: As New. Unread book in perfect condition.

Digital. Zustand: New. This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.About This Book. Take your first steps in the world of data science by understanding the tools and techniques of data analysis. Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods. Learn how to use Apache Spark for processing Big Data efficientlyWho This Book Is ForIf you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book.What You Will Learn. Learn how to clean your data and ready it for analysis. Implement the popular clustering and regression methods in Python. Train efficient machine learning models using decision trees and random forests. Visualize the results of your analysis using Python's Matplotlib library. Use Apache Spark's MLlib package to perform machine learning on large datasetsIn DetailJoin Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis.Style and approachThis comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

Zustand: New.

Digital. Zustand: New. This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.About This Book. Take your first steps in the world of data science by understanding the tools and techniques of data analysis. Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods. Learn how to use Apache Spark for processing Big Data efficientlyWho This Book Is ForIf you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book.What You Will Learn. Learn how to clean your data and ready it for analysis. Implement the popular clustering and regression methods in Python. Train efficient machine learning models using decision trees and random forests. Visualize the results of your analysis using Python's Matplotlib library. Use Apache Spark's MLlib package to perform machine learning on large datasetsIn DetailJoin Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis.Style and approachThis comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

Zustand: As New. Unread book in perfect condition.

Digital. Zustand: New. This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.About This Book. Take your first steps in the world of data science by understanding the tools and techniques of data analysis. Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods. Learn how to use Apache Spark for processing Big Data efficientlyWho This Book Is ForIf you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book.What You Will Learn. Learn how to clean your data and ready it for analysis. Implement the popular clustering and regression methods in Python. Train efficient machine learning models using decision trees and random forests. Visualize the results of your analysis using Python's Matplotlib library. Use Apache Spark's MLlib package to perform machine learning on large datasetsIn DetailJoin Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis.Style and approachThis comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

Paperback. Zustand: New. New. book.

paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The job of a data scientist is one of the most lucrative jobs out there today - it involves analyzing large amounts of data, and gathering actionable business insights from it using a variety of tools. This book empowers you to conduct data analysis and per.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 799.

Zustand: New. Print on Demand.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.Key Features Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficientlyBook DescriptionJoin Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them.Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis.What you will learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasetsWho this book is for:¿If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book.