Recommend and justify the optimal machine learning model for a given dataset and problem, considering various constraints and performance metrics.
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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Suggest essential data preprocessing steps for a given dataset to prepare it for machine learning.
Generate a foundational outline for a simple classification model, including data preparation and algorithm selection.
Generate innovative feature engineering ideas from raw data attributes to enhance the predictive performance of machine learning models for a specified target variable.
