Data Science AI ML Course
What will I learn?
Unlock the potential of data with our Data Science, AI, and ML course, specifically designed for technology professionals looking to get ahead. Delve into feature selection techniques, become proficient in hyperparameter tuning, and explore advanced machine learning algorithms such as Random Forest and Gradient Boosting. Get practical, hands-on experience with data preprocessing, model training, and evaluation methods. Learn how to interpret model outputs and produce impactful reports. This comprehensive, high-quality course provides you with the practical skills needed to succeed in today's data-driven environment.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Become proficient in feature selection to improve model accuracy and efficiency.
Optimise hyperparameters using advanced search methods.
Evaluate models using robust cross-validation and metrics.
Analyse data to identify patterns and outliers effectively.
Implement machine learning algorithms for predictive insights.
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 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 it offers practical and relevant knowledge for your professional journey.