Answer / Shamendra

The three main stages to build a model in machine learning are: Data Preprocessing, Model Training, and Model Evaluation. During Data Preprocessing, the data is cleaned, normalized, and formatted for the machine learning algorithm. In Model Training, the algorithm learns patterns from the training data to make predictions on new, unseen data. Finally, during Model Evaluation, the model's performance is assessed using appropriate metrics.

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