Demand Forecasting Using Time Series
Completed by Varnika Vyas
March 24, 2023
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: Python Programming
- Category: Regression Analysis
- Category: Demand Planning
- Category: Time Series Analysis and Forecasting
- Category: Supply Chain Systems
- Category: Statistical Modeling
- Category: Supply Chain Management
- Category: Correlation Analysis
- Category: Applied Machine Learning
- Category: Statistical Analysis
- Category: Predictive Analytics
- Category: Pandas (Python Package)
