Develop a robust strategy for identifying and handling outliers in complex datasets, ensuring data integrity and reliable analysis for various business objectives.
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".
Brainstorm and propose a list of impactful new features from existing raw data, enhancing predictive power for machine learning models.
Utilize advanced statistical methods to detect and characterize outliers within your dataset, providing actionable insights for data cleaning or further investigation.
Explain common techniques for transforming categorical features into numerical formats for machine learning.
