Demand Forecasting Using Time Series
Completed by Wei Mo
April 13, 2024
9 hours (approximately)
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What you will learn
Building ARIMA models in Python to make demand predictions
Developing the framework for more advanced neural netowrks (such as LSTMs) by understanding autocorrelation and autoregressive models.
Skills you will gain
- Category: Time Series Analysis and Forecasting
- Category: Customer Demand Planning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
- Category: Applied Machine Learning
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Forecasting
- Category: Statistical Modeling
- Category: Supply Chain Management
- Category: Data Visualization
