Resampling and Regularization | Data Science with Marco

Get the notebook and the dataset: https://github.com/marcopeix/datasciencewithmarco 📚 Theory: 0:00 - 5:17 🐍 Code: 5:18 - 14:40 In this video, we cover resampling and regularization in Python. We cover 3 different approaches to resampling: validation set, leave-one-out cross-validation (LOOCV) and k-fold cross-validation. Then, we introduce two resampling methods: ridge regression and lasso. Finally, we apply all those methods in Python and see how they can improve our models. Follow me on Medium for data science articles: https://medium.com/@marcopeixeiro