Generate innovative feature engineering ideas from raw data attributes to enhance the predictive performance of machine learning models for a specified target variable.
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 exploratory data analysis prompts".
This prompt guides you through a systematic root cause analysis process, starting from identified data anomalies to pinpoint underlying issues and actionable insights within your systems or processes.
Leverage this prompt to brainstorm and create impactful new features from raw data, enhancing your exploratory data analysis and improving the predictive power of subsequent models.
Recommend optimal data normalization and scaling techniques for machine learning models based on data distribution, outliers, and model type.
