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AI in Healthcare Course
Discover the power of AI in healthcare with our detailed course designed for engineering professionals in Lesotho. Explore data deeply, learning ways to spot unusual data and understand how data is spread out. Improve your skills in getting data ready, including making data uniform and coding it. Make models better by combining different methods and fine-tuning settings. Learn how to create models that predict outcomes, choose important features, and measure how well they work. Boost your knowledge with learning that is practical, of high quality, and to the point.
- Become an expert in data exploration: Find outliers and understand how data is distributed.
- Make models the best they can be: Use combined methods and adjust settings effectively.
- Improve data preparation: Make data uniform and code different types of variables efficiently.
- Create predictive models: Select the right algorithms and use cross-validation techniques.
- Judge how well a model performs: Analyze accuracy, precision, recall, and F1-score.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Discover the power of AI in healthcare with our detailed course designed for engineering professionals in Lesotho. Explore data deeply, learning ways to spot unusual data and understand how data is spread out. Improve your skills in getting data ready, including making data uniform and coding it. Make models better by combining different methods and fine-tuning settings. Learn how to create models that predict outcomes, choose important features, and measure how well they work. Boost your knowledge with learning that is practical, of high quality, and to the point.
Elevify advantages
Develop skills
- Become an expert in data exploration: Find outliers and understand how data is distributed.
- Make models the best they can be: Use combined methods and adjust settings effectively.
- Improve data preparation: Make data uniform and code different types of variables efficiently.
- Create predictive models: Select the right algorithms and use cross-validation techniques.
- Judge how well a model performs: Analyze accuracy, precision, recall, and F1-score.
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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