- Bradley Efron, Trevor Hastie, Iain Johnstone, and Robert Tibshirani, Least angle regression, The Annals of Statistics 32(2) 2004: pp. 407–499, doi:10.1214/009053604000000067, MR2060166.
scikit-learn Cookbook - Second Edition
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scikit-learn Cookbook - Second Edition
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Overview of this book
Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. This book includes walk throughs and solutions to the common as well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform various machine learning tasks effectively.
The second edition begins with taking you through recipes on evaluating the statistical properties of data and generates synthetic data for machine learning modelling. As you progress through the chapters, you will comes across recipes that will teach you to implement techniques like data pre-processing, linear regression, logistic regression, K-NN, Naïve Bayes, classification, decision trees, Ensembles and much more. Furthermore, you’ll learn to optimize your models with multi-class classification, cross validation, model evaluation and dive deeper in to implementing deep learning with scikit-learn. Along with covering the enhanced features on model section, API and new features like classifiers, regressors and estimators the book also contains recipes on evaluating and fine-tuning the performance of your model.
By the end of this book, you will have explored plethora of features offered by scikit-learn for Python to solve any machine learning problem you come across.
Table of Contents (13 chapters)
Preface
Free Chapter
High-Performance Machine Learning – NumPy
Pre-Model Workflow and Pre-Processing
Dimensionality Reduction
Linear Models with scikit-learn
Linear Models – Logistic Regression
Building Models with Distance Metrics
Cross-Validation and Post-Model Workflow
Support Vector Machines
Tree Algorithms and Ensembles
Text and Multiclass Classification with scikit-learn
Neural Networks
Create a Simple Estimator
Customer Reviews