Demand Forecasting Using Time Series
Completed by Paula Vila Seoane
December 17, 2022
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: Predictive Modeling
- Category: Predictive Analytics
- Category: Forecasting
- Category: Statistical Modeling
- Category: Applied Machine Learning
- Category: Correlation Analysis
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
- Category: Python Programming
- Category: Trend Analysis
