Free course
US$0.00
Premium course
US$30.90
Machine Learning Course
Unlock the power of Machine Learning with our in-depth course specifically designed for technology professionals in Zambia. Dive into collecting and exploring data using Pandas and NumPy, master how to split datasets properly, and assess models accurately. Learn important data preparation methods, explore advanced ways of choosing the best model, and understand regression models like Decision Trees and Random Forests. Improve your abilities with useful, top-quality content so you're prepared to handle real-world problems here in Zambia. Join now and transform your career!
- Master data handling: Learn to load, examine, and choose datasets using Pandas and NumPy.
- Implement dataset splitting: Use cross-validation and stratified sampling techniques.
- Evaluate model performance: Understand MAE, MSE, and R-squared metrics.
- Preprocess data effectively: Learn to handle missing values and encode categorical variables properly.
- Optimise models: Fine-tune hyperparameters and make use of ensemble methods.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of Machine Learning with our in-depth course specifically designed for technology professionals in Zambia. Dive into collecting and exploring data using Pandas and NumPy, master how to split datasets properly, and assess models accurately. Learn important data preparation methods, explore advanced ways of choosing the best model, and understand regression models like Decision Trees and Random Forests. Improve your abilities with useful, top-quality content so you're prepared to handle real-world problems here in Zambia. Join now and transform your career!
Elevify advantages
Develop skills
- Master data handling: Learn to load, examine, and choose datasets using Pandas and NumPy.
- Implement dataset splitting: Use cross-validation and stratified sampling techniques.
- Evaluate model performance: Understand MAE, MSE, and R-squared metrics.
- Preprocess data effectively: Learn to handle missing values and encode categorical variables properly.
- Optimise models: Fine-tune hyperparameters and make use of ensemble methods.
Suggested summary
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.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course