Preface
Prerequisite
1
Introduction
1.1
Dataset
1.2
Data Exploration
1.3
Descriptive statistics
2
Data Visualization
2.1
Relation of diabetes and pregnancies
2.1.1
Scatter plot
2.1.2
Boxplot
2.1.3
Density Plot
2.2
Relation between Glucose, Blood Pressure, Age, Pregnancy
2.2.1
Scatter Plot
3
Statistical Learning
3.1
Data Preprocessing
3.2
Normalization of features
3.3
Options for training process
3.4
Classical ML Models
3.5
Testing the performance for the test data set.
Data Analysis and Machine Learning Using R: Biomedial Data
Prerequisite
The reqirement for the readers of this book are the following:
Requirement
R software installed in your computer
An IDE for R (Many use RStudio)
Some basic knowledge about graphs and statistics