Answer / Rajni Sinha

"1. Problem identification and definition
2. Data collection
3. Data cleaning and preprocessing
4. Exploratory data analysis (EDA)
5. Feature engineering and model selection
6. Model training and evaluation
7. Model tuning and optimization
8. Deployment and monitoring"

Define cluster sampling?

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Name three types of biases that can occur during sampling?

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What do you understand by the selection bias?

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