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AI And Machinelearning Course
Boost your Business Intelligence career with our AI and Machine Learning Course, tailored for professionals who want practical, top-notch training. Become a master at feature selection, data preparation, and how to make models work their best. Get real-world experience with important tools like PyTorch, Scikit-learn, and TensorFlow. You'll also learn how to document and report on projects properly, so you can clearly explain what the data shows. This course gives you the power to improve how well models work and make confident decisions based on data.
- Master feature selection: Make the most of your data by reducing its size and looking at how things relate to each other.
- Enhance data preprocessing: Deal with missing information and convert data types appropriately.
- Utilize ML frameworks: Develop models using PyTorch, Scikit-learn, and TensorFlow.
- Optimize models: Make models work better by fine-tuning their settings and trying out different things.
- Document projects: Produce full reports and clearly explain how models are evaluated.

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, tailored for professionals who want practical, top-notch training. Become a master at feature selection, data preparation, and how to make models work their best. Get real-world experience with important tools like PyTorch, Scikit-learn, and TensorFlow. You'll also learn how to document and report on projects properly, so you can clearly explain what the data shows. This course gives you the power to improve how well models work and make confident decisions based on data.
Elevify advantages
Develop skills
- Master feature selection: Make the most of your data by reducing its size and looking at how things relate to each other.
- Enhance data preprocessing: Deal with missing information and convert data types appropriately.
- Utilize ML frameworks: Develop models using PyTorch, Scikit-learn, and TensorFlow.
- Optimize models: Make models work better by fine-tuning their settings and trying out different things.
- Document projects: Produce full reports and clearly explain how models are evaluated.
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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.What our students say
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