Link_collection.md

Useful Links

LSTM (Long Short-Term Memory) Model for Time-Series Analysis:

https://towardsdatascience.com/multivariate-time-series-forecasting-with-deep-learning-3e7b3e2d2bcf https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/ https://medium.com/@masterofchaos/lstms-made-easy-a-simple-practical-approach-to-time-series-prediction-using-pytorch-fastai-103dd4f27b82

ARIMA und SARIMA

https://neptune.ai/blog/arima-sarima-real-world-time-series-forecasting-guide

How to Select a Model For Your Time Series Prediction Task

https://neptune.ai/blog/select-model-for-time-series-prediction-task

sktime

https://github.com/sktime/sktime

Am ehesten relevante Kaggle-Competitions (unter Code --> nach "Most Votes" filtern)

https://www.kaggle.com/competitions/m5-forecasting-accuracy/code?competitionId=18599&sortBy=voteCount https://www.kaggle.com/competitions/walmart-recruiting-store-sales-forecasting https://www.kaggle.com/competitions/store-sales-time-series-forecasting https://www.kaggle.com/competitions/playground-series-s3e19/overview https://www.kaggle.com/competitions/tabular-playground-series-jan-2022 https://www.kaggle.com/competitions/rossmann-store-sales/overview

Knapp 14 Jahre alt und auf die US bezogen, aber die (wirtschaftliche) Analyse der Time Series könnte vielleicht ganz interessant sein:

https://books.googleusercontent.com/books/content?req=AKW5QadtsQ5zT2gT0yLr-6uqvQbMXG5grxx_zQQ0u7isiFJre4T6VpnllBKiuLk65DUt0FfV8L3h9bldA4Oa9KjvozqKoBiGCKrX6pYQQnCjlqOn9g5YBujt0QWIC2dawA-E1voNzVDTKCjAo3QY4UeE3D2GkwvmM0G3acnWedl2TV0Gv2jh_wBI4arV4o0VKeZGOVyuf8Wc-MA_7cvkh4OYa_melJZp48A-WM3xFzBr0g28m4UI6wPbKFXlCu2DlHfanDP2iJKWLcjW1EO-OW7WAm6iDAsoQA