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Machine Learning with R Training
Live Online & Classroom Enterprise Training
Learn how to use the R programming language for data science and machine learning and data visualization!
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What is Machine Learning with R Course about?
What are the objectives of Machine Learning with R Course ?
Who is Machine Learning with R Course for?
Available Training Modes
Live Online Training
12 HoursSelf-Paced Training
12 HoursCourse Outline Expand All
Expand All
- Introduction to Machine Learning Overview
- 1.1: Introduction to Machine Learning
- Module 2: Machine Learning Basics
- Machine Learning Basics Overview
- 2.1: Basics of Evaluating Machine Learning Algorithms
- 2.2: Conditional Probabilities
- Linear Regression for Prediction, Smoothing, and Working with Matrices Overview
- 3.1: Linear Regression for Prediction
- 3.2: Smoothing
- 3.3: Working with Matrices
- Distance, Knn, Cross-validation, and Generative Models Overview
- 4.1: Nearest Neighbors
- 4.2: Cross-validation
- 4.3: Generative Models
- Classification with More than Two Classes and the Caret Package Overview
- 5.1: Classification with More than Two Classes
- 5.2: Caret Package
- 5.3: Titanic Exercises
- Model Fitting and Recommendation Systems Overview
- 6.1: Case Study: MNIST
- 6.2: Recommendation Systems
- 6.3: Regularization
Who is the instructor for this training?
The trainer for this Machine Learning with R Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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