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Machine Learning with R

Best fit program for tech & non-tech graduates and working professionals to create a new career in your own industry as data analyst.

Course Includes

  • Anyone with good knowledge of high school level mathematics and statistics
  • Preferred to have knowledge of SQL

Eligibility

Ideal for non-tech graduates and professionals to create an entry into analytics either in your own industry or elsewhere.

Available Modules

Available in-class on weekdays & weekends. Session also available online live training.

Machine Learning with R

Machine learning vs. Statistical modeling & supervised vs. Unsupervised Learning
• Machine Learning Languages, Types, and Examples
• Machine Learning vs Statistical Modelling
• Supervised vs Unsupervised Learning
• Supervised Learning Classification
• Unsupervised Learning
Supervised Learning Understanding nearest neighbour classification

The KNN algorithm

• Measuring similarity with distance
• Choosing Appropriate K
• Use Case
• Classification Using Naïve Bayes
• Classification using Decision Trees
• The C5.0 decision tree algorithm
• Understanding Classification Rules
• Understanding Regression
• Support Vector Machines
• Neural Networks
• Black Box Methods

Unsupervised Learning

• Association Rules – Pattern detection
• K-Means Clustering plus Advantages & Disadvantages
• Hierarchical Clustering plus Advantages & Disadvantages
• Measuring the Distances Between Clusters – Single Linkage Clustering
• Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
• Density-Based Clustering
• Evaluating Model Performance
• Improving Model Performance

Course Includes

  • Anyone with good knowledge of high school level mathematics and statistics
  • Preferred to have knowledge of SQL

Enquire Now

Enquire Now