Demand Forecasting Using Time Series
Completed by Rajesh Telikicherla
February 22, 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: Demand Planning
- Category: Data Visualization
- Category: Supply Chain Systems
- Category: Applied Machine Learning
- Category: Data Analysis
- Category: Correlation Analysis
- Category: Supply Chain
- Category: Python Programming
- Category: Statistical Modeling
- Category: Plot (Graphics)
- Category: Supply Chain Management
- Category: Time Series Analysis and Forecasting
