Hands-on Scikit-Learn for Machine Learning Applications

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Data Science Fundamentals with Python

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Data Science Fundamentals with Python

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and experiment with at home on your own machine.
All applied math and programming skills required to master the content are covered in this book. In-depth knowledge of object-oriented programming is not required as working and complete examples are provided and explained. Coding examples are in-depth and complex when necessary. They are also concise, accurate, and complete, and complement the machine learning concepts introduced. Working the examples helps to build the skills necessary to understand and apply complex machine learning algorithms.
Hands-on Scikit-Learn for Machine Learning Applications is an excellent starting point for those pursuing a career in machine learning. Students of this book will learn the fundamentals that are a prerequisite to competency. Readers will be exposed to the Anaconda distribution of Python that is designed specifically for data science professionals, and will build skills in the popular Scikit-Learn library that underlies many machine learning applications in the world of Python.
What You'll Learn

Work with simple and complex datasets common to Scikit-Learn

Manipulate data into vectors and matrices for algorithmic processing

Become familiar with the Anaconda distribution used in data science

Apply machine learning with Classifiers, Regressors, and Dimensionality Reduction

Tune algorithms and find the best algorithms for each dataset

Load data from and save to CSV, JSON, Numpy, and Pandas formats

Who This Book Is For
The aspiring data scientist yearning to break into machine learning through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming and very basic applied linear algebra will make learning easier, although anyone can benefit from this book.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

تاریخ انتشار

2019

نویسنده

David Paper

ناشر

Apress

شابک

9781484253731

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Hands-on Scikit-Learn for Machine Learning Applications

Hands-on Scikit-Learn for Machine Learning Applications

گزارش تخلف

فرمت کتاب

ebook

تاریخ انتشار

2019

نویسنده

ناشر

شابک

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