GitHub - MajaF/AppliedTimeSeriesForecastingInPython: Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python

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Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python

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Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
data		data
02_baseline_models.ipynb		02_baseline_models.ipynb
02_baseline_models_starter.ipynb		02_baseline_models_starter.ipynb
03_random_walk.ipynb		03_random_walk.ipynb
03_random_walk_starter.ipynb		03_random_walk_starter.ipynb
04_moving_average.ipynb		04_moving_average.ipynb
04_moving_average_starter.ipynb		04_moving_average_starter.ipynb
05_autoregressive_model.ipynb		05_autoregressive_model.ipynb
05_autoregressive_model_starter.ipynb		05_autoregressive_model_starter.ipynb
06_ARMA.ipynb		06_ARMA.ipynb
06_ARMA_starter.ipynb		06_ARMA_starter.ipynb
07_ARIMA.ipynb		07_ARIMA.ipynb
07_ARIMA_starter.ipynb		07_ARIMA_starter.ipynb
08_SARIMA.ipynb		08_SARIMA.ipynb
08_SARIMA_starter.ipynb		08_SARIMA_starter.ipynb
09_SARIMAX.ipynb		09_SARIMAX.ipynb
09_SARIMAX_starter.ipynb		09_SARIMAX_starter.ipynb
10_VAR_VARMA_VARMAX.ipynb		10_VAR_VARMA_VARMAX.ipynb
10_VAR_VARMA_VARMAX_starter.ipynb		10_VAR_VARMA_VARMAX_starter.ipynb
11-12-13_exponential_smoothing.ipynb		11-12-13_exponential_smoothing.ipynb
11-12-13_exponential_smoothing_starter.ipynb		11-12-13_exponential_smoothing_starter.ipynb
14_BATS_TBATS.ipynb		14_BATS_TBATS.ipynb
14_BATS_TBATS_starter.ipynb		14_BATS_TBATS_starter.ipynb
15_theta.ipynb		15_theta.ipynb
15_theta_starter.ipynb		15_theta_starter.ipynb
16_DL_preprocessing.ipynb		16_DL_preprocessing.ipynb
16_DL_preprocessing_starter.ipynb		16_DL_preprocessing_starter.ipynb
17_DL_linear.ipynb		17_DL_linear.ipynb
17_DL_linear_starter.ipynb		17_DL_linear_starter.ipynb
18_DL_DNN.ipynb		18_DL_DNN.ipynb
18_DL_DNN_starter.ipynb		18_DL_DNN_starter.ipynb
19_DL_LSTM.ipynb		19_DL_LSTM.ipynb
19_DL_LSTM_starter.ipynb		19_DL_LSTM_starter.ipynb
20_DL_CNN.ipynb		20_DL_CNN.ipynb
20_DL_CNN_starter.ipynb		20_DL_CNN_starter.ipynb
21_Prophet.ipynb		21_Prophet.ipynb
21_Prophet_starter.ipynb		21_Prophet_starter.ipynb
22_Prophet_project.ipynb		22_Prophet_project.ipynb
22_Prophet_project_starter.ipynb		22_Prophet_project_starter.ipynb
23_NBEATS.ipynb		23_NBEATS.ipynb
23_NBEATS_starter.ipynb		23_NBEATS_starter.ipynb
24_NHiTS.ipynb		24_NHiTS.ipynb
24_NHiTS_starter.ipynb		24_NHiTS_starter.ipynb
25_PatchTST.ipynb		25_PatchTST.ipynb
25_PatchTST_starter.ipynb		25_PatchTST_starter.ipynb
26_croston.ipynb		26_croston.ipynb
26_croston_starter.ipynb		26_croston_starter.ipynb
27_adida_imapa.ipynb		27_adida_imapa.ipynb
27_adida_imapa_starter.ipynb		27_adida_imapa_starter.ipynb
28_tsb.ipynb		28_tsb.ipynb
28_tsb_starter.ipynb		28_tsb_starter.ipynb
29_intermittent_error_metrics.ipynb		29_intermittent_error_metrics.ipynb
29_intermittent_error_metrics_starter.ipynb		29_intermittent_error_metrics_starter.ipynb
30_intermittent_capstone.ipynb		30_intermittent_capstone.ipynb
30_intermittent_capstone_starter.ipynb		30_intermittent_capstone_starter.ipynb
31_timesnet.ipynb		31_timesnet.ipynb
31_timesnet_starter.ipynb		31_timesnet_starter.ipynb
32_timegpt.ipynb		32_timegpt.ipynb
32_timegpt_starter.ipynb		32_timegpt_starter.ipynb