Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
10 Determining p,d,q and P,D,Q parameters of ARIMA and SARIMA.ipynb		10 Determining p,d,q and P,D,Q parameters of ARIMA and SARIMA.ipynb
11 ARMA and ARIMA.ipynb		11 ARMA and ARIMA.ipynb
12 SARIMA.ipynb		12 SARIMA.ipynb
13 SARIMAX.ipynb		13 SARIMAX.ipynb
14 Demand Forecast Trial using SARIMA.ipynb		14 Demand Forecast Trial using SARIMA.ipynb
15 BS_DataQualityCheck.ipynb		15 BS_DataQualityCheck.ipynb
16 VAR models.ipynb		16 VAR models.ipynb
17 VARMA Models.ipynb		17 VARMA Models.ipynb
17 VARMA model.ipynb		17 VARMA model.ipynb
18 Forecasting Exercise.ipynb		18 Forecasting Exercise.ipynb
19 Deep Learning - Keras, RNN, LSTM Basic Theory.ipynb		19 Deep Learning - Keras, RNN, LSTM Basic Theory.ipynb
1Statsmodels.ipynb		1Statsmodels.ipynb
20 Forecasting Time Series using Keras and RNN.ipynb		20 Forecasting Time Series using Keras and RNN.ipynb
21 Facebook Prophet Library.ipynb		21 Facebook Prophet Library.ipynb
22 Prophet Trend Changes and Changing Seasonality(from additive to multiplicative).ipynb		22 Prophet Trend Changes and Changing Seasonality(from additive to multiplicative).ipynb
2ETS Decomposition with Statsmodels.ipynb		2ETS Decomposition with Statsmodels.ipynb
3EWMA Models.ipynb		3EWMA Models.ipynb
4Holt Winters Method.ipynb		4Holt Winters Method.ipynb
5General Forecasting Models - Intro To Forecasting.ipynb		5General Forecasting Models - Intro To Forecasting.ipynb
6ACF and PACF.ipynb		6ACF and PACF.ipynb
7ARIMA Theory.ipynb		7ARIMA Theory.ipynb
8 AutoRegression.ipynb		8 AutoRegression.ipynb
9 Descriptive Statistics and Tests.ipynb		9 Descriptive Statistics and Tests.ipynb
Democode_ARIMAX_Gopal.ipynb		Democode_ARIMAX_Gopal.ipynb
Groupby and Operations.ipynb		Groupby and Operations.ipynb
Missing Data.ipynb		Missing Data.ipynb
Numpy.ipynb		Numpy.ipynb
Pandas.ipynb		Pandas.ipynb
README.md		README.md
RNNtimeSeriesmodel.h5		RNNtimeSeriesmodel.h5
Statsmodel TimeSeries Exercise.ipynb		Statsmodel TimeSeries Exercise.ipynb
StoreItemDemandForecastingChallenge_Git.ipynb		StoreItemDemandForecastingChallenge_Git.ipynb
Testing_ARMA.ipynb		Testing_ARMA.ipynb
TimeSeriesExecise.ipynb		TimeSeriesExecise.ipynb

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Time-Series-Forecast-Snippets

Discussed various methodologies that may help while implementing Time Series The code files are properly commented which will help you understand each method with examples.

Note: The dataset used in the programs can be easily downloaded online, else you can use any time series dataset for the same.

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