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Title: GitHub - Nixtla/fpp3-python: Forecasting: principles and practice in python

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Description: Forecasting: principles and practice in python. Contribute to Nixtla/fpp3-python development by creating an account on GitHub.

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2 Some simple forecasting methods.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/2%20Some%20simple%20forecasting%20methods.ipynb
2 Some simple forecasting methods.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/2%20Some%20simple%20forecasting%20methods.ipynb
3 Fitted values and residuals.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/3%20Fitted%20values%20and%20residuals.ipynb
3 Fitted values and residuals.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/3%20Fitted%20values%20and%20residuals.ipynb
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5 Distributional forecasts and prediction intervals.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/5%20Distributional%20forecasts%20and%20prediction%20intervals.ipynb
6 Forecasting using transformations.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/6%20Forecasting%20using%20transformations.ipynb
6 Forecasting using transformations.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/6%20Forecasting%20using%20transformations.ipynb
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7 Forecasting with decomposition.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/7%20Forecasting%20with%20decomposition.ipynb
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9 Evaluating distributional forecast accuracy.ipynbhttps://github.com/Nixtla/fpp3-python/blob/main/9%20Evaluating%20distributional%20forecast%20accuracy.ipynb
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