Recommend optimal data normalization and scaling techniques for machine learning models based on data distribution, outliers, and model type.
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 data preparation strategies".
Get recommendations for appropriate data scaling or normalization methods based on your dataset characteristics and model requirements.
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