You are developing a training pipeline for a new gcp video

ml-engineer-pro video for you are developing a training pipeline for a new XGBoost classification model based on tabular data. The data is stored in a BigQuery

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You are developing a training pipeline for a new XGBoost classification model based on tabular data. The data is stored in a BigQuery table. You need to complete the following steps: Randomly split the data into training and evaluation datasets in a 65/35 ratio Conduct feature engineering Obtain metrics for the evaluation dataset Compare models trained in different pipeline executions How should you execute these steps?