Demand Forecasting Using Time Series
Completed by KHANH LE
December 14, 2024
9 hours (approximately)
KHANH LE's account is verified. Coursera certifies their successful completion of Demand Forecasting Using Time Series
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: Machine Learning
- Category: Statistical Modeling
- Category: Data Analysis
- Category: Forecasting
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Supply Chain
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Time Series Analysis and Forecasting
- Category: Predictive Modeling
- Category: Supply Chain Systems
