Machine Learning r Course
What will I learn?
Unlock di power of machine learning wit our complete Machine Learning R Course, wey dem design am specially for statistics professionals dem. Enter inside data preprocessing, master techniques like data splitting, feature scaling, and encoding categorical variables. Improve your skills for data handling, exploratory data analysis, and model fine-tuning. Learn how to use algorithms like Random Forests and Linear Regression, and evaluate models using cross-validation and metrics like R-squared. Carry your expertise go up wit practical, high-quality content wey dem tailor am for real-world applications.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master data preprocessing: Split, scale, and encode data well-well.
Clean and handle data: Load, inspect, and manage missing values for inside R.
Conduct EDA: Visualize how data dey spread and find outliers quick-quick.
Fine-tune models: Make algorithms dey work better wit hyperparameter tuning.
Evaluate models: Use cross-validation and understand performance metrics.
Suggested overview
Workload: between 4 and 360 hours
Before getting started, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You'll be able to create more chapters like the examples below
This is a free course, focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.