Create a tailored strategy for handling missing data, getting recommendations on imputation methods based on your dataset's characteristics.
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 toolkit".
Brainstorm simple ideas for creating new, useful features from existing numerical or categorical columns in your dataset to enhance model performance.
Receive suggestions for basic methods to address missing values in your dataset, such as removal or simple imputation techniques.
Recommend optimal data normalization and scaling techniques for machine learning models based on data distribution, outliers, and model type.
