Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Author:   Tarek Amr
Publisher:   Packt Publishing Limited
ISBN:  

9781838826048


Pages:   384
Publication Date:   24 July 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python


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Author:   Tarek Amr
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781838826048


ISBN 10:   1838826041
Pages:   384
Publication Date:   24 July 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Introduction to Machine Learning & Scikit-Learn Making Decisions with Trees Making decisions with linear equations Preparing Your Data Image processing with nearest neighbors Text Classification - Not all data exists in tables Neural Networks - Here comes the Deep Learning Ensembles - When one model is not enough The Y is as important as the X Imbalanced Learn - Not even 1% win the lottery Clustering - Grouping data when no correct answers are provided Anomaly Detection - Finding Outliers in Data Recommender System - Learning about users' taste from their previous interactions

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Author Information

Tarek Amr has 8 years of experience in data science and machine learning. After finishing his postgraduate degree at the University of East Anglia, he worked in a number of startups and scaleup companies in Egypt and in the Netherlands. This is his second data-related book. His previous book is about data visualization using D3.js. He enjoys giving talks and writing about different computer science and business concepts and explaining them to a wider audience. He can be reached on twitter at @gr33ndata. He is happy to respond to all questions related to this book. Feel free to reach him if any parts of the book need clarifications or if you would like to discuss any of the concepts there in more detail.

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