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Data Intelligence: NumPy & Pandas
Module 12 of 15
12. Time Series Analysis
1. Seasonality
Detecting patterns that repeat (Weekly, Yearly).
pythonfrom statsmodels.tsa.seasonal import seasonal_decompose result = seasonal_decompose(df['sales'], period=365) result.plot()
2. Prophet (Facebook)
Forecasting made easy.
pythonm = Prophet() m.fit(df) future = m.make_future_dataframe(periods=365) forecast = m.predict(future)