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: Matplotlib
- Category: Correlation Analysis
- Category: Trend Analysis
- Category: Forecasting
- Category: Regression Analysis
- Category: Pandas (Python Package)
- Category: Customer Demand Planning
- Category: Data Visualization
- Category: Data Analysis
- Category: Machine Learning
- Category: Time Series Analysis and Forecasting
- Category: Python Programming
