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Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concepts of overfitting vs underfitting, model selection, validation set method, LOOCV, k-fold cross-validation, penalizing overfitting, regularized linear regression, kernel ridge regression, and finding the right regularization strength. It also discusses data representation, data normalization, missing data, noisy data, cleaning methods, and the challenges of imbalanced data in machine learning.