Essential Machine Learning with R Training

Introduction:

Unlock the potential of AI with our comprehensive machine learning course. Learn, upskill, and enhance your knowledge in artificial intelligence through a foundational machine learning course with R. As you delve into the world of data analysis automation, understand how systems can learn from data, identify patterns, and make decisions with minimal human intervention. Many industries harness the power of machine learning to gain a competitive advantage, and in this course, you’ll leverage R—a user-friendly tool with extensive community support—to grasp the fundamentals of machine learning. Elevate your skills and stay ahead in the evolving landscape of AI.

Course Objectives:

  • Identify appropriate machine learning methods to address the problems and issues
  • Perform data analysis using machine learning methods
  • Draw inferences from the data analysis – Using R for machine learning

Duration

7 hours, 1 Day Course

Mode of Delivery

Classroom-based, Instructor-led Training

Course Outline

  1. Introduction to Machine Learning
    1. What is Machine Learning
    2. Types of Machine Learning
    3. Supervised vs Unsupervised Learning
    4. Python vs R for Machine Learning
    5. Install R Machine Learning Package
  2. Data Preprocessing
    1. Sample Data
    2. Impute Missing Data
    3. Normalize Data
    4. Split Data
  3. Regression Methods
    1. What is Linear Regression
    2. Regularization – Bias vs Variance Tradeoff
    3. Lasso Regression
    4. Ridge Regression
  4. Classification Methods
    1. What is Classification
    2. Logistic Regression
    3. Gaussian Naive Bayes (GNB)
    4. K Nearest Neighbor (KNN)
    5. Support Vector Machine (SVM)
    6. Decision Tree
    7. Confusion Matrix
    8. ROC and AUC Analysis