Machine Learning r Course
What will I learn?
Unlock the power of Machine Learning with our complete Machine Learning R Course, weh we design especially for people weh sabi statistics. Tek dive inside data preprocessing, and sabi well-well how to split data, scale features, and change categorical variables. Improve your skills for how to handle data, explore data to see how e be, and fine-tune model dem. Learn how to use algorithms like Random Forests and Linear Regression, and check how good the model dem be by using cross-validation and things like R-squared. Make your sabi level high with correct lessons weh go help you for real work.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master data preprocessing: Split, scale, and encode data smartly-smartly.
Clean and handle data: Load data, check am, and manage data weh loss for inside R.
Conduct EDA: See how the data dem spread and find anytin weh no dey correct.
Fine-tune models: Make the algorithms dem work fine by adjusting the settings.
Evaluate models: Use cross-validation and understand how the model dem dey perform.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Adjust 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 growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.