Practical Machine Learning with R

With machine learning techniques and R, you can easily develop these kinds of applications in an efficient way. Practical Machine Learning with R begins by helping you grasp the basics of machine learning methods, while also highlighting how and why they work. (Limited-time offer)

Table of Contents

• An Introduction to Machine Learning
• Data Cleaning and Pre-processing
• Feature Engineering
• Introduction to neuralnet and Evaluation Methods
• Linear and Logistic Regression Models
• Unsupervised Learning

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