Mastering Predictive Analytics with R
R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. Updated with revamped examples and to the latest version of R, this book is designed to be both a guide and a reference for moving beyond the basics of predictive modeling.
Offered by
Difficulty Level
Intermediate
Completion Time
14h56m
Language
English
About Book
Who Is This Book For?
Although budding data scientists, predictive modelers, or quantitative analysts with only basic exposure to R and statistics will find this book to be useful, the experienced data scientist professional wishing to attain master level status , will also find this book extremely valuable.. This book assumes familiarity with the fundamentals of R, such as the main data types, simple functions, and how to move data around. Although no prior experience with machine learning or predictive modeling is required, there are some advanced topics provided that will require more than novice exposure.
Mastering Predictive Analytics with R
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h56m total length
Gearing Up for Predictive Modeling
Tidying Data and Measuring Performance
Linear Regression
Generalized Linear Models
Neural Networks
Support Vector Machines
Tree-based Methods
Dimensionality Reduction
Ensemble Methods
Probabilistic Graphical Models
Topic Modeling
Recommendation Systems
Scaling Up
Deep Learning
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