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Welcome to the INTRODUCTION-TO-MACHINE-LEARNING-WITH-R wiki!

We will learn:

• To explore the machine learning algorithms for supervised and unsupervised cases.
• Understand machine learning algorithims for supervised and unsupervised cases.
• Examine statistical concepts for designing data for use in models.
• Dive into linear regression models used in business and science.
• Use single-layer and multilayer neural networks for calculating outcomes.
• Look at how tree-based models work, including popular decision trees.
• Get a comprehensive view of the machine learning ecosystem in R.
• Explore the powerhouse of tools available in R's caret package.