Introduction to Machine Learning with Python. A Guide for Data Science Professionals
A

Introduction to Machine Learning with Python. A Guide for Data Science Professionals

Machine learning
Python machine learning Scikit-learn data science classification regression data visualization
Author
Андреас Мюллер, Сара Гвидо
Publisher
O'Reilly Media
Year
2017
Language
Russian
76
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Building Machine Learning Systems with Python. 2nd Edition

Building Machine Learning Systems with Python. 2nd Edition

Луис Педро Коэльо, Вилли Ричарт

Large-Scale Machine Learning with Python

Large-Scale Machine Learning with Python

Бастиан Шарден, Лука Массарон, Альберто Боскетти

Applied Machine Learning and Artificial Intelligence for Engineers

Applied Machine Learning and Artificial Intelligence for Engineers

Джефф Просиз

Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

Себастьян Рашка, Юси (Хэйден) Лю, Вахид Мирджалили

Machine Learning with Low-Code

Machine Learning with Low-Code

Гвендолин Стриплинг, Майкл Абель

Python and Data Analysis. Primary Data Processing with pandas, NumPy, and Jupyter

Python and Data Analysis. Primary Data Processing with pandas, NumPy, and Jupyter

Уэс Маккинни

Python for Complex Problems: Data Science. 2nd International Ed.

Python for Complex Problems: Data Science. 2nd International Ed.

Джейк Вандер Плас

Learning Pandas

Learning Pandas

Майкл Хейдт, Артем Груздев

Python and Data Analysis. Primary Data Processing with pandas, NumPy, and IPython

Python and Data Analysis. Primary Data Processing with pandas, NumPy, and IPython

Уэс Маккини

Data Engineering in Python: Fundamentals of Data Analysis with Pandas, NumPy, and Scikit-learn

Data Engineering in Python: Fundamentals of Data Analysis with Pandas, NumPy, and Scikit-learn

А. Ю. Гинько (переводчик)