Supply Chain Demand forecasting with Python
Learn to build advanced time series demand forecasting models in python
3.86 (7 reviews)
34
students
2.5 hours
content
Jan 2023
last update
$39.99
regular price
What you will learn
Timeseries data cleaning and preparation
Implement simple moving average forecast in python
Learn different KPIs (Bias, MAPE, MAE, RMSE) to measure forecast accuracy & implement in Python
Implement weighted moving average forecast & optimize parameters in python
Implement single exponential smoothing model in python
Implement double exponential smoothing model in python
Implement double exponential smoothing with damped trend
Implement triple exponential smoothing model in python
Simulate and optimize Alpha, Beta, Gamma and Phi parameters for automatic model selection
Calculate error KPIs for each models
Visualize the results with actuals, forecast and forecast errors
Related Topics
5080808
udemy ID
1/12/2023
course created date
1/26/2023
course indexed date
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