l train and evaluate multiple time-series forecasting models using the Store Item Demand Forecasting Challenge dataset from Kaggle. This dataset has 10 different stores and each store has 50 items, i.e. total of 500 daily level time series data for five years (2013–2017).
machine-learning
time-series
linear-regression
demand-forecasting
covariate-shift
xgboost-regression
lgbmregressor
nixtla
-
Updated
Jun 13, 2024 - Jupyter Notebook