آموزش تحلیل و پیش‌بینی سری‌های زمانی با استفاده از ChatGPT - آخرین آپدیت

Introduction Introduction

• Hire GPT 4o as your forecaster Hire GPT-4o as your forecaster

• Human history of forecasting Human history of forecasting

1. Fundamentals of Time Series Forecasting 1. Fundamentals of Time Series Forecasting

• Essentials of time series forecasting Essentials of time series forecasting

• Trends, seasonality, cycles, and noise components in time series data Trends, seasonality, cycles, and noise components in time-series data

• Additive decomposition, multiplicative decomposition, and STL decomposition Additive decomposition, multiplicative decomposition, and STL decomposition

2. Time Series Analysis Techniques 2. Time Series Analysis Techniques

• Transform non stationarity to stationarity using differencing Transform non-stationarity to stationarity using differencing

• Access stationarity vs. non stationarity by ADF test Access stationarity vs. non-stationarity by ADF test

• Use autocorrelation and partial autocorrelation plots for time series analysis Use autocorrelation and partial autocorrelation plots for time series analysis

3. Predictive Modeling and Presentation 3. Predictive Modeling and Presentation

• How to select the best ETS model How to select the best ETS model

• Predicting with exponential smoothing model Predicting with exponential smoothing model

• Creating effective PowerPoint presentations Creating effective PowerPoint presentations

• Time series forecasting with ARIMA Time-series forecasting with ARIMA

• Hyperparameter selection for ARIMA Hyperparameter selection for ARIMA

Conclusion Conclusion

• Predict tomorrow to prepare for the future Predict tomorrow to prepare for the future