Mastering Predictive Analytics with scikit-learn and TensorFlow
In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.
Offered by
Difficulty Level
Intermediate
Completion Time
5h8m
Language
English
About Book
Who Is This Book For?
Mastering Predictive Analytics with scikit-learn and TensorFlow is for data analysts, software engineers, and machine learning developers who are interested in implementing advanced predictive analytics using Python. Business intelligence experts will also find this book indispensable as it will teach them how to progress from basic predictive models to building advanced models and producing more accurate predictions. Prior knowledge of Python and familiarity with predictive analytics concepts are assumed.
Mastering Predictive Analytics with scikit-learn and TensorFlow
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 5h8m total length
Ensemble Methods for Regression and Classification
Cross-validation and Parameter Tuning
Working with Features
Introduction to Artificial Neural Networks and TensorFlow
Predictive Analytics with TensorFlow and Deep Neural Networks
Related Resources
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