Data Science AI ML Course
What will I learn?
Unlock the power of data with our Data Science AI ML Course, designed for tech professionals keen to excel. Dive into feature selection strategies, master hyperparameter tuning, and explore advanced machine learning algorithms like Random Forest and Gradient Boosting. Get hands-on experience with data preprocessing, model training, and evaluation techniques. Learn to interpret model outputs and create impactful reports. This concise, high-quality course equips you with practical skills to thrive in the data-driven world.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master feature selection to enhance model accuracy and efficiency.
Optimise hyperparameters using advanced search techniques.
Evaluate models with robust cross-validation and metrics.
Explore 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 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.