Machine Learning r Course
What will I learn?
Unleash the power of machine learning with our comprehensive Machine Learning R Course, specially designed for statistics professionals. Dive into data preprocessing, mastering techniques like data splitting, feature scaling, and encoding categorical variables. Level up your skills in data handling, exploratory data analysis (EDA), and model fine-tuning. Learn to implement algorithms such as Random Forests and Linear Regression, and evaluate models using cross-validation and metrics like R-squared. Boost your expertise with practical, high-quality content tailored for real-world applications, leh!
Apoia's Unique Benefits
Build skills
Enhance your practical skills in the areas listed below
Master data preprocessing: Split, scale, and encode data efficiently, can or not?
Clean and handle data: Load, inspect, and manage missing values in R, steady pom pi pi.
Conduct EDA: Visualize distributions and detect outliers effectively, confirm plus chop.
Fine-tune models: Optimise algorithms with hyperparameter tuning, sure or not?
Evaluate models: Use cross-validation and interpret performance metrics, siao liao!
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.