Machine Learning Course
What will I learn?
Unlock the capabilities of machine learning with our detailed course crafted for technology professionals. Delve into data collection and exploration utilising Pandas and NumPy, become proficient in dataset splitting strategies, and assess models with accuracy. Learn crucial preprocessing techniques, explore advanced model selection, and gain understanding of regression models such as Decision Trees and Random Forests. Enhance your skills with practical, top-notch content ensuring you're prepared to handle real-world challenges. Enrol now and transform your career!
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Become proficient in data handling: Load, inspect, and select datasets using Pandas and NumPy.
Implement dataset splitting: Apply cross-validation and stratified sampling techniques.
Evaluate model performance: Understand MAE, MSE, and R-squared metrics.
Preprocess data effectively: Manage missing values and encode categorical variables.
Optimise models: Tune hyperparameters and utilise ensemble methods.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.