Demand Forecasting Using Time Series
Completed by Rajesh Telikicherla
February 22, 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: Applied Machine Learning
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Predictive Analytics
- Category: Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
- Category: Python Programming
- Category: Forecasting
- Category: Statistical Modeling
- Category: Correlation Analysis
