Machine Learning Course
What will I learn?
Unlock di power weh machine learning get wit wi full-plete tori weh we design for technology people. Dive inside data collection and exploration using Pandas and NumPy, sabi dataset splitting strategies well-well, and check model dem wit correct accuracy. Learn important preprocessing ways, explore model selection weh e don go far, and get clear understanding about regression model dem like Decision Trees and Random Forests. Make yu skill dem strong wit correct, high-quality lesson weh e go make sure say yu ready to face challenges for real life. Join now and change yu career!
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Sabi data handling well: Load, check, and pick dataset dem wit Pandas and NumPy.
Do dataset splitting: Use cross-validation and stratified sampling techniques.
Check how model dey perform: Understand MAE, MSE, and R-squared metric dem.
Preprocess data correct: Handle missing values and turn categorical variables to number.
Make model dem work betta: Fine-tune hyperparameters and use ensemble method dem.
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.