Machine Learning in Time Series, M5 Forecasting Competition Part 8: Reformat Time Series for ML

Kaggle had released a competition for 100, 000 total prize money. In this series we will work together on this competition from start to finish, learning some of the practical tools of machine learning and data science. Timestamps: Why do we transform the dataframe: 0:42 Transformation step: 3:20 Creating lag features: 5:13 Using LightGBM: 7:10 Start training: 8:41 Local WRMSSE calculations: 8:53 This video is going to be an implementation of the second ML approach from part 6 of this series (yout