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. 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.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data preprocessing: Split, scale, and encode data efficiently.
Clean and handle data: Load, inspect, and manage missing values in R.
Conduct EDA: Visualize distributions and detect outliers effectively.
Fine-tune models: Optimize algorithms with hyperparameter tuning.
Evaluate models: Use cross-validation and interpret performance metrics.
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 offers practical and relevant knowledge for your professional journey.