Demand Forecasting Using Time Series
Completed by RAM PRASHANTH V
November 3, 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: Data Analysis
- Category: Statistical Modeling
- Category: Supply Chain Management
- Category: Data Visualization
- Category: Customer Demand Planning
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Trend Analysis
- Category: Forecasting
- Category: Correlation Analysis
- Category: Python Programming
