Book

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 byPackt Logo

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.

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

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