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

marcopeix / AppliedTimeSeriesForecastingInPython Public

Notifications You must be signed in to change notification settings
Fork 24
Star 51

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

51 stars 24 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 40 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
33_TiDE.ipynb		33_TiDE.ipynb
33_TiDE_starter.ipynb		33_TiDE_starter.ipynb
34_TSMixer.ipynb		34_TSMixer.ipynb
34_TSMixer_starter.ipynb		34_TSMixer_starter.ipynb
35_itransformer.ipynb		35_itransformer.ipynb
35_itransformer_starter.ipynb		35_itransformer_starter.ipynb
36_softs.ipynb		36_softs.ipynb
36_softs_starter.ipynb		36_softs_starter.ipynb
37_rmok.ipynb		37_rmok.ipynb
37_rmok_starter.ipynb		37_rmok_starter.ipynb