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: Statistical Analysis
- Category: Predictive Analytics
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Trend Analysis
- Category: Supply Chain Management
- Category: Data Analysis
- Category: Demand Planning
- Category: Data Visualization
- Category: Supply Chain Systems
- Category: Machine Learning
