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AI And Machinelearning Course
Boost your Business Intelligence career with our AI and Machine Learning Course, designed for professionals looking for practical, top-notch learning. Master feature selection, data pre-processing, and model optimisation techniques. Get hands-on experience with leading frameworks like PyTorch, Scikit-learn, and TensorFlow. Learn to document and report on projects properly, making sure data insights are communicated clearly. This course helps you improve model performance and make data-driven decisions with confidence.
- Master feature selection: Optimise data with dimensionality reduction and correlation.
- Enhance data pre-processing: Handle missing data and encode categorical variables.
- Use ML frameworks: Build models with PyTorch, Scikit-learn, and TensorFlow.
- Optimise models: Improve performance through hyperparameter tuning and experimentation.
- Document projects: Create proper, comprehensive reports and explain model evaluations.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your Business Intelligence career with our AI and Machine Learning Course, designed for professionals looking for practical, top-notch learning. Master feature selection, data pre-processing, and model optimisation techniques. Get hands-on experience with leading frameworks like PyTorch, Scikit-learn, and TensorFlow. Learn to document and report on projects properly, making sure data insights are communicated clearly. This course helps you improve model performance and make data-driven decisions with confidence.
Elevify advantages
Develop skills
- Master feature selection: Optimise data with dimensionality reduction and correlation.
- Enhance data pre-processing: Handle missing data and encode categorical variables.
- Use ML frameworks: Build models with PyTorch, Scikit-learn, and TensorFlow.
- Optimise models: Improve performance through hyperparameter tuning and experimentation.
- Document projects: Create proper, comprehensive reports and explain model evaluations.
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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