Demand Forecasting Using Time Series
Completed by Zineb CHEMMACH
December 23, 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: Machine Learning
- Category: Demand Planning
- Category: Time Series Analysis and Forecasting
- Category: Predictive Analytics
- Category: Statistical Analysis
- Category: Customer Demand Planning
- Category: Statistical Modeling
- Category: Correlation Analysis
- Category: Forecasting
- Category: Trend Analysis
- Category: Pandas (Python Package)
- Category: Regression Analysis
