Course overview
This programme guides learners through the practical steps of developing machine learning models for machining applications, using the Jupyter Notebook environment within the Anaconda Distribution. Participants will learn how to prepare and visualise data, apply feature selection and extraction techniques, and store processed data effectively ultimately equipping them to build, evaluate, and implement machine learning solutions in a machining context, and enhance their ability to translate AI theory into impactful real-world applications.
What you will learn:
- How to prepare and visualise data using Jupyter Notebook.
- How to select and extract features for model training.
- How to train and evaluate predictive machine learning models.
- How to store processed data and features efficiently.
- How to deploy and test AI models in real-world scenarios.
Follow the ‘go to course’ and sign up!