Time Series Forecasting Part 1: Statistical Models
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Section 1: Introduction to Traditional Forecasting
- Download Resources
- Simple Moving Average
- Exponentially Weighted Moving Average (EWMA)
Section 2: Holt-Winters Methods
- Double Exponential Smoothing
- Triple Exponential Smoothing aka Holt Winters
- Practical Code
- Simple Exponential Smoothing - Code Along
- Double Exponential Smoothing - Code Along
- Triple Exponential Smoothing - Code
- Course Review
Section 3: Introduction to Forecasting
- General Forecasting Procedure.
- Forecasting with the Holt-Winters Method
- Train Test Split and Cross Validation Methods
- Evaluating Model against Test Set
- Evaluation Metrics
Section 4: Filters for Time Series Data
- Hodrick Prescott Filter (HP Filter) How it works and code