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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

Online courses with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
24/7 online support
Select and organise the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

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.