Demand Forecasting Using Time Series
Completed by Hatim El Amrani
December 26, 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: Regression Analysis
- Category: Predictive Modeling
- Category: Predictive Analytics
- Category: Forecasting
- Category: Data Analysis
- Category: Correlation Analysis
- Category: Statistical Modeling
- Category: Plot (Graphics)
- Category: Supply Chain
- Category: Python Programming
- Category: Applied Machine Learning
