Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Zásilkovna 39 Kč Výdejní místo DPD 49 Kč PPL shop 49 Kč Balíkovna 49 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Machine Learning with Python

Name: Machine Learning with Python
Brand: Independently Published
SKU: 37604895
Price: 357 CZK
Availability: InStock
Author: Oliver Theobald
ISBN: 9781686658495

A Practical Beginners' Guide

Oliver Theobald

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 37604895

Nakladatelství Independently Published, říjen 2019

Ready to add Machine Learning to your skill stack?As the second title in the Machine Learning From S... Celý popis

Libristo kód: 37604895

36 b

357 Kč

Skladem u dodavatele Odesíláme za 14-21 dnů

Až 30 dní na vrácení zboží

Mohlo by vás také zajímat

Machine Learning For Absolute Beginners Oliver Theobald

Brožovaná

385 Kč

Machine Learning: Make Your Own Recommender System Oliver Theobald

Brožovaná

298 Kč

The Python Bible 7 in 1: Volumes One To Seven Florian Dedov

Brožovaná

811 Kč

The Python Bible 3 in 1: Volumes One to Three (Beginner, Intermediate, Data Science) Florian Dedov

Brožovaná

420 Kč

Machine Learning with Python: The Ultimate Guide to Learn Machine Learning Algorithms. Includes a Useful Section about Analysis, Data Mining and Art ML and Ai Academy

Brožovaná

390 Kč

Deutsche Luftwaffe Losses & Claims Michael Balss

Brožovaná

1 167 Kč

Energy, Mass, and Their Conversions: A Physical and Pictorial Understanding Mark Fennell

Brožovaná

898 Kč

I'd rather be bird watching: Gifts For Birdwatchers - a great logbook, diary or notebook for tracking bird species. 120 pages All Animal Journals

Brožovaná

180 Kč

Rose Of Skibbereen Book Two: An Irish American Historical Romance Novel John McDonnell

Brožovaná

310 Kč

The Python Bible Volume 1: Python Programming For Beginners (Basics, Introduction) Florian Dedov

Brožovaná

237 Kč

Superior German Engineering: 120 Pages I 6x9 I Music Sheet I Funny Doberman & Pinscher Dog Gifts Funny Notebooks

Brožovaná

196 Kč

Neoliberalism and Globalization in Africa J. Mensah

Brožovaná

1 223 Kč

Colony in the Core Phillip L Truong

Pevná

532 Kč

Breakthrough to Literacy Pamela Schaub

Kniha

5 826 Kč

Oksi Silja-Maaria Aronpuro

Pevná

443 Kč

How to make Bobbin Lace: A guide to the equipment, stitches and techniques of bobbin lace for the complete beginner Jo Edkins

Brožovaná

690 Kč

Philosophy of Epicurus Epicurus

Brožovaná

210 Kč

Konspira Maciej Lopinski

Brožovaná

1 156 Kč

Where Do You Fit In? Ma Dianne a. Allen

Brožovaná

325 Kč

The Tumbling Tortoises Nancy Leschnikoff

Pevná

371 Kč

My Little Pony: Pony Life: Meet the Ponies Hasbro

Brožovaná

116 Kč

Light of Days JUDY BATALION

Brožovaná

396 Kč

One Life Morten Albaek

Brožovaná

314 Kč

Conscience of a Dead Killer by Gary Delfino: Gary Delfino Gary Delfino

Brožovaná

236 Kč

Ready to add Machine Learning to your skill stack?

As the second title in the Machine Learning From Scratch series, this book teaches you how to code machine learning models in Python.

By working on different projects with repeatable steps, you will have the blueprints and the effective strategies to code and design prediction models using your own data.

Who is this book for?

The book is designed for beginners with basic background knowledge of machine learning, including common algorithms such as logistic regression and decision trees. For a gentle explanation of machine learning theory minus the code, we suggest reading the first book in this series Machine Learning for Absolute Beginners (Third Edition), which is written for a more general audience.

In this step-by-step guide you will learn:

• How to code a machine learning prediction model using a range of algorithms including logistic regression, gradient boosting, and decision trees.
• How to install a development environment and use the programming language Python to code 10 different models.
• How to write your model in the least amount of code possible with the help of Pandas, Scikit-learn, Matplotlib, and Seaborn.
• How to visualize relationships in your dataset including Heatmaps and Pairplots with just a few lines of code.