Machine Learning with R Quick Start Guide
This book is ideal for people wanting to get up-and-running with the core concepts of machine learning using R 3.5. This book follows a step-by-step approach to implementing an end-to-end pipeline, addressing data collection and processing, various types of data analysis, and machine learning use cases.
Offered by
Difficulty Level
Intermediate
Completion Time
8h20m
Language
English
About Book
Who Is This Book For?
This book is for graduate students, aspiring data scientists, and data analysts who wish to enter the field of machine learning and are looking to implement machine learning techniques and methodologies from scratch using R 3.5. A working knowledge of the R programming language is expected.
Machine Learning with R Quick Start Guide
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 8h20m total length
R Fundamentals for Machine Learning
Predicting Failures of Banks - Data Collection
Predicting Failures of Banks - Descriptive Analysis
Predicting Failures of Banks - Univariate Analysis
Predicting the Failures of Banks - A Multivariate Analysis
Visualizing Economic Problems in the European Union
Sovereign Crisis - NLP and Topic Modeling
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