Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Subtitle: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Publisher: Packt Publishing
Published: 2020
Language: eng
Format: Paperback; eBook
Number of pages: 384
ISBN-13: 9781838826048
Table of contents: title: Supervised Learning
label: Part 1; title: Introduction to Machine Learning & Scikit-Learn
label: Chapter 1; title: Making Decisions with Trees
label: Chapter 2; title: Making decisions with linear equations
label: Chapter 3; title: Preparing Your Data
label: Chapter 4; title: Image processing with nearest neighbors
label: Chapter 5; title: Text Classification - Not all data exists in tables
label: Chapter 6; title: Advanced Supervised Learning
label: Part 2; title: Neural Networks - Here comes the Deep Learning
label: Chapter 7; title: Ensembles - When one model is not enough
label: Chapter 8; title: The Y is as important as the X
label: Chapter 9; title: Imbalanced Learn - Not even 1% win the lottery
label: Chapter 10; title: Unsupervised Learning and More
label: Part 3; title: Clustering - Grouping data when no correct answers are provided
label: Chapter 11; title: Anomaly Detection - Finding Outliers in Data
label: Chapter 12; title: Recommender System - Learning about users’ taste from their previous interactions
label: Chapter 13