You're reading from Machine Learning with Python

Product typeBook

Published inMar 2024

PublisherPackt

ISBN-139781835461969

Edition1st Edition

Concepts

Machine Learning

Author (1)

Oliver Theobald

DATASETS USED IN THIS BOOK

For any issues accessing and downloading these three datasets, please contact the author at oliver.theobald@scatterplotpress.com

Advertising Dataset

Overview: This dataset contains fabricated information about the features of users responding to online advertisements, including their sex, age, location, daily time spent online, and whether they clicked on the target advertisement. The dataset was created by Udemy course instructor Jose Portilla of Pierian Data and is used in his course Python for Data Science and Machine Learning Bootcamp.

Features: 10

Missing values: No

File name: advertising.csv

http://scatterplotpress.com/p/datasets

Melbourne Housing Market Dataset

Overview: This dataset contains data on house, unit, and townhouse prices in Melbourne, Australia. This dataset comprises data scraped from publicly available real estate listings posted weekly on www.domain.com.au. The full dataset contains 21 variables including...

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Author (1)

Oliver Theobald

Oliver Theobald, a technical writer and best-selling author, excels in AI, fintech, and cloud computing. With global experience, he now resides between China and Japan, deepening his expertise in technology. As an instructor, Oliver emphasizes clarity and engagement, stripping away jargon to make complex topics accessible. His courses aim to empower both beginners and professionals with practical skills for success in the tech industry, making learning both effective and enjoyable.
Read more about Oliver Theobald

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