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Certificate in Machine Learning using R

Title - Machine Learning using R


Exit Profile: R Programmer


Duration: 88 Hrs.


This book is intended for anybody hoping to use data for action. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little about R, but are new to machine learning. In any case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic math and programming concepts, but no prior experience is required. All you need is curiosity.

Table of Content:

  • Quick Start
  • Basic Objects
  • Managing Your Workspace
  • Basic Expressions
  • Working with Basic Objects
  • Working with Strings
  • Working with Data
  • Inside R
  • Metaprogramming
  • Object-Oriented Programming
  • Working with Databases
  • Introducing Machine Learning
  • Managing and Understanding Data
  • Lazy Learning – Classification Using Nearest Neighbors
  • Probabilistic Learning – Classification Using Naive Bayes
  • Divide and Conquer – Classification Using Decision Trees and Rules
  • Forecasting Numeric Data – Regression Methods
  • Black Box Methods – Neural Networks and Support Vector Machines
  • Finding Patterns – Market Basket Analysis Using Association Rules
  • Finding Groups of Data – Clustering with k-means
  • Evaluating Model Performance
  • Improving Model Performance
  • Specialized Machine Learning Topics

Start with the customer – find out what they want and give it to them.

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