Time Series Analysis, Time Series Forecasting, Time Series Model, Machine Learning, Data Science.
stationary? • What transforms will make it stationary? • What values of p and q are most promising? Identication tools • Plot the time series df.plot() • Use augmented Dicky-Fuller test adfuller() • Use transforms and/or differencing df.diff() , np.log() , np.sqrt() • Plot ACF/PACF plot_acf() ,