Demand Forecasting Using Time Series
Completed by Gopi Krishnan R
November 3, 2024
9 hours (approximately)
Gopi Krishnan R'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: Supply Chain
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Statistical Modeling
- Category: Correlation Analysis
- Category: Predictive Analytics
- Category: Time Series Analysis and Forecasting
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Forecasting
- Category: Data Analysis
