Essentials of Data Analytics and Machine Learning
SAMPLEBy completing this course, you will learn what Machine Learning and Data Mining entails and why it is important. You will also be able to use R to apply a number of the most common and powerful statistical machine learning and data mining techniques.

The following are sample learning materials for this course. These materials are licensed under CC BY-NC-SA 4.0.
Weekly outline
- General
General
- Introduction
Introduction
- Getting Started with R Programming
Getting Started with R Programming
- Feature Initialization
Feature Initialization
- Feature Selection
Feature Selection
- Feature Transformations
Feature Transformations
- Missing Data
Missing Data
- Basic Regression Models
Basic Regression Models
- Model Evaluation, Selection and Regularization
Model Evaluation, Selection and Regularization
- Basic Classification Methods
Basic Classification Methods
- Analysis of Classification Models
Analysis of Classification Models
- Local Non-parametric Methods
Local Non-parametric Methods
- Basic Kernel Methods
Basic Kernel Methods
- Splines
Splines
- Datasets and Packages
Datasets and Packages