Mastering Machine Learning with R FREE
Join SkillUp’s free Machine Learning with R course to build a strong foundation in machine learning (ML) and R programming. This comprehensive course covers essential algorithms such as linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), and hierarchical clustering. You’ll gain practical knowledge that applies to real-world scenarios and various industries. This course is designed to make learning machine learning easy and accessible, especially for beginners, through detailed lessons and hands-on examples.
Course Features
- Duration: 10 hours of self-paced video lessons
- Completion Certificate: Earn a certificate upon course completion
- Access Period: 90 days of free access to all course materials
Key Skills You Will Learn
- Machine Learning Basics
- Hierarchical Clustering in R
- Time Series Analysis in R
- R Programming Basics
- Linear Regression in R
- Logistic Regression in R
- Data Manipulation and Visualization in R
Who Should Enroll in This Course?
This course is ideal for:
- Aspiring Data Scientists
- Software Engineers
- Web Developers
- AI/ML Enthusiasts
Whether you’re just starting in data science or looking to enhance your programming skills in R, this course provides a step-by-step guide to mastering machine learning algorithms.
What Will You Learn?
The course content is structured into 17 detailed lessons, designed to gradually introduce you to both machine learning and R programming. Here’s a breakdown of the lessons:
- Introduction to Machine Learning with R (01:34)
- Machine Learning Applications (04:58)
- R Programming Introduction and Installation (10:34)
- Variables, Data Types, and Logical Operators in R (33:12)
- Vectors and Lists in R (29:51)
- Matrix and Data Frames in R (1:39:11)
- Flow Control (23:38)
- Functions in R (1:19:56)
- Data Manipulation in R (dplyr and tidyr) (32:44)
- Data Visualization in R (28:33)
- Linear Regression in R (28:45)
- Logistic Regression in R (18:17)
- Decision Tree in R (44:19)
- Random Forest in R (25:27)
- Support Vector Machine in R (37:05)
- Hierarchical Clustering in R (23:52)
- Time Series Analysis in R (1:10:30)
Get a Completion Certificate
Upon completing the course, you will receive a certificate that you can share with prospective employers and your professional network on platforms like LinkedIn.
Why Should You Learn Machine Learning with R?
- Growing Market: The machine learning market is expected to reach $8.81 billion by 2022.
- Increased Adoption: There is a 44.1% growth in the adoption of machine learning across organizations.
Machine learning with R offers a robust ecosystem for data exploration, statistical analysis, and applying a wide variety of machine learning algorithms. R’s flexibility and extensive libraries make it a top choice for data scientists and machine learning practitioners.
About the Course
This free course on Machine Learning with R offers a hands-on experience with machine learning algorithms. You will implement key algorithms like linear regression, logistic regression, decision trees, random forests, SVM, and hierarchical clustering. Alongside learning these algorithms, you will also become proficient in R programming, which is widely used for data manipulation and visualization in the data science community.
Through interactive exercises, you’ll apply machine learning techniques to real-world scenarios, making it easier to understand their practical applications. With guided lessons on data manipulation and visualization using R, you’ll build the skills needed for data analysis and machine learning tasks.
FAQs
Why choose R for Machine Learning?
R is renowned for its powerful statistical analysis capabilities and rich ecosystem of tools designed for machine learning and data mining. It handles large datasets, supports probability distributions, and offers diverse statistical tests.
Can R handle Deep Learning?
While R is excellent for machine learning, deep learning frameworks like TensorFlow and PyTorch are more commonly used in Python. However, R has packages like Keras and TensorFlow to facilitate deep learning projects.
Will I receive any certification upon completing this course?
Yes, you will receive a free completion certificate.
How long will I have access to the course materials?
You will have 90 days of access to the course materials once you enroll.
What is the course duration?
The course consists of 10 hours of self-paced video lessons.
Conclusion
SkillUp’s Machine Learning with R course is a fantastic starting point for anyone looking to dive into the world of machine learning and data science. With hands-on exercises, in-depth lessons, and a structured curriculum, you’ll come away with valuable skills that are in high demand.
