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.
Unlock full access
This prompt is part of the premium pack "Advanced data preparation strategies".
Create a tailored strategy for handling missing data, getting recommendations on imputation methods based on your dataset's characteristics.
Generate innovative feature engineering ideas from raw data attributes to enhance the predictive performance of machine learning models for a specified target variable.
Develop a framework for predictive anomaly detection, leveraging machine learning to identify unusual patterns in system metrics before they become critical issues.
