Artificial Intelligence And Machine Learning Course
What will I learn?
Level up your Business Intelligence skills with our Artificial Intelligence and Machine Learning Course. Get stuck in with data preprocessing, mastering techniques like normalising numerical features and encoding categorical variables. Improve forecasting using linear regression, decision trees, and more advanced methods such as random forests. Learn to integrate data pipelines, monitor models, and optimise performance using MAE and RMSE metrics. Get proper expertise in visualising results and preparing comprehensive reports, all designed for practical, high-quality learning.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data integration: Connect and manage data pipelines seamlessly.
Enhance model accuracy: Optimise performance with advanced evaluation metrics.
Forecast with precision: Use regression and advanced machine learning models.
Visualize insights: Create proper data visualizations and reports.
Engineer features: Develop robust time series features for better predictions.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change 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 offers practical and relevant knowledge for your professional journey.