Demand Forecasting Using Time Series
Completed by HADIEHSADAT SEYEDIAN
November 16, 2021
9 hours (approximately)
HADIEHSADAT SEYEDIAN'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: Statistical Modeling
- Category: Forecasting
- Category: Machine Learning
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Applied Machine Learning
- Category: Pandas (Python Package)
- Category: Regression Analysis
- Category: Correlation Analysis
- Category: Python Programming
- Category: Trend Analysis
- Category: Time Series Analysis and Forecasting
