Nikhil Gupta ngupta23

## sktime_forecasting_pipeline.py
#### Step 1: Load data and simulate missing value ----
import numpy as np
from sktime.datasets import load_airline
y = load_airline()
y[2] = np.nan

#### Step 2: Create pipeline with preprocessing ----
from sktime.forecasting.compose import ForecastingPipeline
from sktime.transformations.series.impute import Imputer
from sktime.transformations.series.boxcox import LogTransformer

## pycaret_ts_naas.ipynb

      
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	#### Step 1: Load data and simulate missing value ----
	import numpy as np
	from sktime.datasets import load_airline
	y = load_airline()
	y[2] = np.nan

	#### Step 2: Create pipeline with preprocessing ----
	from sktime.forecasting.compose import ForecastingPipeline
	from sktime.transformations.series.impute import Imputer
	from sktime.transformations.series.boxcox import LogTransformer