Statistical Application Development with R and Python
Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. It helps you explore the relation of data and build models to make better decisions. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken with DATA and R code, and further enhanced by Python. By the end of this book you will be able to apply your statistical learning in major domains at work or in your projects.
Offered by
Difficulty Level
Intermediate
Completion Time
14h24m
Language
English
About Book
Who Is This Book For?
If you want to have a brief understanding of the nature of data and perform advanced statistical analysis using both R and Python, then this book is what you need. No prior knowledge is required. Aspiring data scientist, R users trying to learn Python and vice versa
Statistical Application Development with R and Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h24m total length
DATA CHARACTERISTICS
IMPORT/EXPORT DATA
DATA VISUALIZATION
EXPLORATORY ANALYSIS
STATISTICAL INFERENCE
LINEAR REGRESSION ANALYSIS
THE LOGISTIC REGRESSION MODEL
REGRESSION MODELS WITH REGULARIZATION
CLASSIFICATION AND REGRESSION TREES
CART AND BEYOND
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