Utilize a structured prompt to perform time series forecasting using ARIMA models, including data preparation and interpretation steps.
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.
Unlock full access
This prompt is part of the premium pack "Advanced statistical analysis prompts".
Create a strategic outline for time series forecasting, including data preprocessing, model selection (ARIMA, Prophet, LSTM), validation, and interpretation.
Analyze time series data to identify trends, seasonality, and cyclical patterns, and recommend suitable forecasting models for future predictions.
Perform a systematic root cause analysis for identified data anomalies, pinpointing contributing factors and suggesting corrective actions to prevent recurrence.
