Machine Learning r Course
What will I learn?
Unlock the power of Machine Learning with our Machine Learning R Course, we don adapt am small for statistics people like you. Learn how to prepare your data well well, sabi techniques like how to split data, scale features, and change categorical variables to numbers wey computer fit understand. Get better for handling data, doing Exploratory Data Analysis (EDA), and fine-tuning your models. Learn how to use algorithms like Random Forests and Linear Regression, and check how good your models dey using cross-validation and things like R-squared. Sharpen your skills with practical, correct content wey go help you for real work.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master data preprocessing: Split, scale, and encode data quick quick.
Clean and handle data: Load data, check am well, and manage any empty spaces inside the data for R.
Conduct EDA: See how the data dey spread out with graphs and find any strange things inside.
Fine-tune models: Make your algorithms work better by adjusting the settings.
Evaluate models: Use cross-validation to check how the model dey perform and understand the results.
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.