Demand Forecasting Using Time Series
Completed by Krisana Kalari
February 8, 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 Modeling
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Statistical Analysis
- Category: Customer Demand Planning
- Category: Predictive Analytics
- Category: Data Analysis
- Category: Forecasting
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
