Machine Learning r Course
What will I learn?
Unlock the power of Machine Learning with our in-depth Machine Learning R Course, designed especially for statistics professionals here in Zambia. Dig deep into preparing data, mastering methods like ku-split data, ku-scale features, and ku-encode categorical variables. Improve your abilities in handling data, exploratory data analysis, and ku-fine-tune ama model. Learn to use algorithms such as Random Forests and Linear Regression, and ku-evaluate ama model using cross-validation and metrics like R-squared. Level up your skills with practical, high-quality lessons made for real-world problems.
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
Master ku-prepare data: Ku-split, ku-scale, and ku-encode data properly.
Clean and handle data: Ku-load, ku-inspect, and ku-manage missing values mu R.
Conduct EDA: Ku-visualize distributions and ku-detect outliers bwino bwino.
Fine-tune ama model: Ku-optimize algorithms with hyperparameter tuning.
Evaluate ama model: Use cross-validation and ku-interpret performance metrics.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and 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 similar to the examples below
This is a free course aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your professional journey.