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Machine Learning: Make Your Own Recommender System

You're reading from Machine Learning: Make Your Own Recommender System

Product type Book

Published in Mar 2024

Publisher Packt

ISBN-13 9781835882061

Pages 131 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Oliver Theobald

Table of Contents (15) Chapters

1. FOREWORD

2. DATASETS USED IN THIS BOOK

3. INTRODUCING SCIKIT-LEARN

4. INTRODUCTION

5. THE ANATOMY

6. SETTING UP A SANDBOX ENVIRONMENT

7. WORKING WITH DATA

8. DATA REDUCTION

9. ITEM-BASED COLLABORATIVE FILTERING

10. USER-BASED COLLABORATIVE FILTERING

11. CONTENT-BASED FILTERING

12. EVALUATION

13. PRIVACY & ETHICS

14. THE FUTURE OF RECOMMENDER SYSTEMS

15. FURTHER RESOURCES

DATASETS USED IN THIS BOOK

Goodbooks-10k Datasets (Chapter 6)

These two datasets contain information about books and user ratings collected from www.goodreads.com. The first dataset contains book ratings from individual users, while the second dataset contains information about individual books such as their average rating, number of five-star ratings, ISBN number, author, etc.

https://www.kaggle.com/sriharshavogeti/collaborative-recommender-system-on-goodreads/data

Advertising Dataset (Chapter 7)

This dataset contains fabricated information about the features of users responding to online advertisements, including their gender, age, location, daily time spent online, and whether they clicked on the 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.

https://scatterplotpress.com/p/datasets

Melbourne Housing Market (Chapter 8)

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Machine Learning: Make Your Own Recommender System

Published in: Mar 2024 Publisher: Packt ISBN-13: 9781835882061

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Authors (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.

See other products by Oliver Theobald

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