├── Data Files ├── Annual_Number_of_Lynx_trapped.csv ├── DJIA_Jan2016_Dec2016.xlsx ├── DJIA_May2016_May2017.csv ├── Data Files ├── Monthly_CO2_Concentrations.xlsx ├── PRSA_data_2010.1.1-2014.12.31.csv ├── World Bank Mobile Phone Statistics.xlsx ├── chemical-concentration-readings.csv ├── ibm-common-stock-closing-prices.csv ├── inflation-consumer-prices-annual.xlsx ├── mean-daily-temperature-fisher-river.csv ├── mean-daily-temperature-fisher-river.xlsx ├── monthly-mean-thickness-dobson-un.csv ├── monthly-sunspot-number-zurich-17.csv ├── quarterly-beer-production-in-aus-March 1956-June 1994.csv ├── us-airlines-monthly-aircraft-miles-flown.csv └── wisconsin-employment-time-series.csv ├── LICENSE ├── README.md ├── Section 1 ├── Autocorrelation and Partial autocorrelation.ipynb ├── Different types of data.ipynb ├── Internal structures of time series.ipynb └── Models for time series analysis.ipynb ├── Section 2 ├── Augmented Dickey-Fuller test.ipynb ├── Moving Averages.ipynb ├── Resampling time series data.ipynb ├── Seasonal adjustment using moving average.ipynb ├── Seasonal differencing.ipynb ├── Stationary Processes.ipynb ├── Time series decomposition_moving averages.ipynb └── Time series decomposition_statsmodels.ipynb ├── Section 3 ├── Decomposition.ipynb ├── DoubleExponentialSmoothing.ipynb ├── SimpleExponentialSmoothing.ipynb └── TripleExponentialSmoothing.ipynb ├── Section 4 ├── AR.ipynb ├── ARIMA.ipynb ├── ARMA.ipynb ├── ARMA_IBMstock.ipynb └── MA.ipynb └── Section 5 ├── MLPs for time series forecasting.ipynb └── PM2.5_MLPs for time series forecasting.ipynb /Data Files/Annual_Number_of_Lynx_trapped.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Practical-Time-Series-Analysis-V-/HEAD/Data Files/Annual_Number_of_Lynx_trapped.csv -------------------------------------------------------------------------------- /Data Files/DJIA_Jan2016_Dec2016.xlsx: 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