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Related Questions
- What are some common data preprocessing techniques used in machine learning to prevent data leakage?
- How does normalization affect the distribution of data, and what impact does it have on preventing data leakage?
- Can you explain the difference between feature scaling and normalization, and how they help mitigate data leakage?
- What are some common pitfalls to avoid when applying data preprocessing techniques to prevent data leakage?
- How can data augmentation techniques be used in conjunction with normalization and feature scaling to prevent data leakage?
- What role does data transformation play in preventing data leakage, and how can it be used in conjunction with other preprocessing techniques?
- Can you provide examples of datasets where data leakage was mitigated using data preprocessing techniques such as normalization and feature scaling?
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