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.
Unlock full access
This prompt is part of the premium pack "Advanced exploratory data analysis prompts".
Brainstorm and propose a list of impactful new features from existing raw data, enhancing predictive power for machine learning models.
Guide through a structured root cause analysis (RCA) using methods like the 5 Whys or Fishbone diagram for a specific quality issue, proposing effective corrective actions.
Pinpoint the underlying issues causing negative customer experiences based on detailed feedback.