Further reading
You can check out the following resources for further reading:
- Regularization for Sparsity from Google Machine Learning Crash Course: https://developers.google.com/machine-learning/crash-course/regularization-for-sparsity/l1-regularization
- L1 and L2 Regularization from Foundations of Machine Learning, Bloomberg ML EDU: https://www.youtube.com/watch?v=d6XDOS4btck
- Cross-validation: evaluating estimator performance from scikit-learn: https://scikit-learn.org/stable/modules/cross_validation.html
- Rossmann Store Sales: https://www.kaggle.com/c/rossmann-store-sales
- Web Traffic Time Series Forecasting – https://www.kaggle.com/c/web-traffic-time-series-forecasting
- Corporación Favorita Grocery Sales Forecasting – https://www.kaggle.com/c/favorita-grocery-sales-forecasting
- M5 Forecasting – Accuracy – https://www.kaggle.com/c/m5-forecasting-accuracy
