Sprawdzić stan zamówienia

Zostań członkiem wspólnoty miłośników książek z całego świata i zyskaj mnóstwo korzyści. Załóż konto bezpłatnie

Kurier DPD 4.99 € Kurier Hermes 5.49 € Kurier DHL 4.49 € Punkt Hermes 4.99 € Punkt DPD 3.49 € Kurier GLS 5.49 €

Kontakt

Jak kupować

Pomoc

Moje konto

▸ Pusty :-(

Machine Learning with Python

Name: Machine Learning with Python
Brand: Independently Published
SKU: 37604895
Price: 15.79 EUR
Availability: InStock
Author: Oliver Theobald
ISBN: 9781686658495

A Practical Beginners' Guide

Oliver Theobald

Język

Angielski

Książka Miękka

Kod Libristo: 37604895

Wydawnictwo Independently Published, październik 2019

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

Kod Libristo: 37604895

39 b

Gwarancja
najlepszej
ceny ▸

15.79 € včetně DPH

Dostępna u dostawcy Wysyłamy za 9-13 dni

Nawet do 30 dni na zwrot

Mogłoby Cię także zainteresować

Machine Learning For Absolute Beginners Oliver Theobald

Miękka

12.99 €

Machine Learning: Make Your Own Recommender System Oliver Theobald

Miękka

13.09 €

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

Miękka

37.89 €

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

Miękka

19.59 €

Python for Beginners: The Crash Course to Learn Programming Python Faster and Remember it Longer. Includes Exercises for Machine Learning, D Marc Matthes

Miękka

6.89 €

Deutsche Luftwaffe Losses & Claims Michael Balss

Miękka

50.89 €

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

Miękka

10.49 €

Python for Beginners: A Step-by-Step Guide to Learn Python from Zero in just 5 Days Includes Hands-on-Projects and Exercises Clive Campbell

Miękka

15.89 €

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

Miękka

7.99 €

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

Miękka

8.69 €

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

Miękka

17.19 €

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

Miękka

39.69 €

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

Miękka

13.69 €

Colony in the Core Phillip L Truong

Twarda

24.79 €

Breakthrough to Literacy Pamela Schaub

Książka

227.59 €

Neoliberalism and Globalization in Africa J. Mensah

Miękka

55.49 €

The Handbook of Data Science and AI Danko Nikolic

Twarda

79.39 €

The Mini Rough Guide to Montenegro: Travel Guide with eBook Marc Di Duca

Miękka

9.19 €

Ocean DK

Miękka

8.09 €

My Little Pony: Pony Life: Meet the Ponies Hasbro

Miękka

5.69 €

Data Science Crash Course for Beginners with Python AI Publishing

Miękka

24.19 €

Konspira Maciej Lopinski

Miękka

53.59 €

Worst Soulmate Ever: Proposal Paul Starr

Miękka

11.39 €

Vagabond Definitive Edition, Vol. 2 Takehiko Inoue

Twarda

38.89 €

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.