ts_feature_engineering_7.py

X_2_daily = X_2[["day_sin", "day_cos"]]
model_2 = LinearRegression().fit(X_2_daily.iloc[:TRAIN_END],
                             	y.iloc[:TRAIN_END])
results_df["model_2"] = model_2.predict(X_2_daily)
results_df[["actuals", "model_2"]].plot(figsize=(16,4),
                                    	title="Fit using sine/cosine features")
plt.axvline(date(2020, 1, 1), c="m", linestyle="--");