Generate a comprehensive blueprint for feature engineering, outlining steps to transform raw data into optimal features for machine learning models.
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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Generate ideas for creating new numerical features from existing ones in a dataset, focusing on simple transformations.
Generate a simple strategy to identify and handle missing values in a given dataset using basic methods.
Explain common techniques for transforming categorical features into numerical formats for machine learning.
