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Intro To Machine Learning 1 (IML1)

The science of solving classification tasks


Learn to acquire a comprehensive understanding of basic principles of machine learning, data types and components in Scikit-learn, the importance of machine learning, data preprocessing techniques for handling numerical and categorical data, train-test splitting for model evaluation, implementation of Support Vector Machine (SVM) in classification and regression, and model improvement techniques including the model evaluation and hyperparameter tuning for SVM.

We strongly recommend that you complete the Intro To Machine Learning 1 (IML1) workshop prior to taking this course. Some concepts presented throughout the lecture may be less-than-ideal for practitioners who have not completed the pre-requisite courses.


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