Python Machine Learning Cookbook : Over 100 Recipes to Progress from Smart Data Analytics to Deep Learning Using Real-World Datasets, 2nd Edition.
With this book, you will learn how to perform various machine learning tasks in different environments. You'll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms u...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham :
Packt Publishing Ltd,
2019
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| Edition: | 2nd ed. |
| Subjects: | |
| Local Note: | ProQuest Ebook Central |
Table of Contents:
- Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: The Realm of Supervised Learning; Technical requirements; Introduction; Array creation in Python; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Data preprocessing using mean removal; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Data scaling; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Normalization; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Binarization
- Getting readyHow to do it ... ; How it works ... ; There's more ... ; See also; One-hot encoding; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Label encoding; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Building a linear regressor; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Computing regression accuracy; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Achieving model persistence; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Building a ridge regressor
- Getting readyHow to do it ... ; How it works ... ; See also; Building a polynomial regressor; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Estimating housing prices; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Computing the relative importance of features; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Estimating bicycle demand distribution; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Chapter 2: Constructing a Classifier; Technical requirements; Introduction
- Building a simple classifierGetting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Building a logistic regression classifier; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Building a Naive Bayes classifier; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Splitting a dataset for training and testing; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Evaluating accuracy using cross-validation metrics; Getting ready ... ; How to do it ... ; How it works ... ; There's more ... ; See also
- Visualizing a confusion matrixGetting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Extracting a performance report; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Evaluating cars based on their characteristics; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Extracting validation curves; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Extracting learning curves; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Estimating the income bracket; Getting ready; How to do it ...
