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Data Science AI ML Course
Unleash the power of data with our Data Science AI ML Course, designed for technology 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 pre-processing, 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.
- 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.

4 to 360 hours flexible workload
certificate recognized by the MEC
What will I learn?
Unleash the power of data with our Data Science AI ML Course, designed for technology 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 pre-processing, 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.
Elevify advantages
Develop skills
- 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
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.What our students say
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