Machine Learning with R Cookbook
The R language is a powerful open source functional programming language. At its core, R is a statistical language that provides impressive tools to analyze data and create high-level graphics. This book covers the basics of R by setting up a user-friendly programming environment and programming ETL in R. Data exploration examples are provided that demonstrate how powerful data visualisation and machine learning is in discovering hidden relationships. You will also explore air quality data, steps to fix the missing values and visualising the same. You will then dive into important machine learning topics, including data classification, regression, survival analysis, time series analysis, clustering association rule mining, and dimension reduction.This book will include the latest code and examples based on R 3.3 and above—updated for better computation, accuracy, and speed with R.
Offered by
Difficulty Level
Intermediate
Completion Time
19h4m
Language
English
About Book
Who Is This Book For?
This book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful.
Machine Learning with R Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 19h4m total length
Practical Machine Learning with R
Data Exploration with Air Quality Dataset
Analysing Time Series Data
R and Statistics
Understanding Regression Analysis
Survival Analysis
Classification (I) – Tree, Lazy, and Probabilistic
Classification (II) – Neural Network and SVM
Model Evaluation
Ensemble Learning
Clustering
Association Analysis and Sequence Mining
Dimension Reduction
Big Data Analysis (R and Hadoop)
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