Machine Learning with R Training Course
R Machine Learning Primer: Introduction for Beginners
- Experienced instructors with industry expertise
- Access to official guides and materials
- Covers all exam topics thoroughly
- Flexible study at your own pace
- Support for exam service
- Anytime access to study resources
What you'll learn
Join SkillUp's Machine Learning with R course tobuild a solid foundation in ML basics. Explore keyalgorithms such as linear regression,logistic
regression, decision tree,random forest,SVM, andhierarchical clustering, gaining practical knowledge forvarious applications. The course takes you on a
detailed journey through R programming, making iteasy to grasp the essentials.
Training Course Outline
Introduction to Machine Learning with R
1.1 Introduction
2.1 Introduction to Machine Learning
3.1 Machine Learning Applications
4.1 R programming Introduction
5.1 Variables Data Types and Logical
6.1 Vectors and Lists in R
7.1 Matrix and Data Frames in R
8.1 Flow Control
9.1 Functions in R
10.1 Data Manipulation in R dplyr and R tidyr
11.1 Data Visualizationin R
12.1 Linear Regression in R
13.1 Logistic Regression in R
14.1 Decision Tree in R
15.1 Random Forest in R
16.1 Support Vector Machine in R
17.1 hierarchical Clustering in R
18.1 Time Series Analysis in R
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Master Machine Learning with R: Course by SkillUp. Learn key algorithms and practical applications, with detailed R programming guidance.
Pre-requisites
The course has no specific prerequisites.
Bishop Pattern Recognition and Machine Learning PDF Free Download | SPOTO
Bishop Pattern Recognition and Machine Learning PDF Free Download | SPOTO
Cours name: AI File Type: PDF
Machine Learning with R FAQs
What is R in artificial intelligence?
R is a programming language renowned for its capabilities in statistical computing and data analysis. It is increasingly utilized in AI projects for building machine learning models and developing broader artificial intelligence applications.
Do you need R for machine learning?
While not an absolute requirement, R is a highly effective tool for machine learning and computational statistics. It excels in descriptive analytics and visualization, offering built-in statistical functions, vectorized operations, functional programming features, and access to over 7,000 libraries.
How is R used in machine learning?
R plays a significant role in data science by providing robust visualization tools essential for data exploration prior to applying automated learning techniques. These visualization features also help in evaluating the performance and outcomes of learning algorithms.
Why is R used in machine learning?
The popularity of R in machine learning and data analytics is largely due to its rich suite of statistical and graphical tools. Its extensive array of statistical functions supports data exploration, hypothesis testing, and comprehensive statistical modeling.