Machine Learning r Course
What will I learn?
Unlock the power of machine learning with our comprehensive Machine Learning R Course, designed specifically for statistics professionals here in Namibia. Dive into data preprocessing, mastering techniques like data splitting, feature scaling, and encoding categorical variables. Enhance your skills in data handling, exploratory data analysis, 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. Elevate your expertise with practical, high-quality content tailored for real-world applications relevant to Namibia.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Master data preprocessing: Split, scale, and encode data efficiently, ensuring data is ready for analysis.
Clean and handle data: Load, inspect, and manage missing values in R, a crucial skill for Namibian datasets.
Conduct EDA: Visualize distributions and detect outliers effectively, providing insights into your data.
Fine-tune models: Optimize algorithms with hyperparameter tuning, getting the best performance from your models.
Evaluate models: Use cross-validation and interpret performance metrics, ensuring your models are robust and reliable.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.