Generate an ARIMA model for time series forecasting, including model selection, fitting, and prediction.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
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This prompt is part of the premium pack "Advanced statistical analysis toolkit".
Utilize a structured prompt to perform time series forecasting using ARIMA models, including data preparation and interpretation steps.
Create a strategic outline for time series forecasting, including data preprocessing, model selection (ARIMA, Prophet, LSTM), validation, and interpretation.
Generate a detailed plan for feature engineering on time series data, including lag features, rolling statistics, and temporal indicators to enhance predictive models.
