Answer Posted / Amit Kuamr Jaiman

The three main stages to build any Machine Learning Model are Data Preprocessing, Training, and Evaluation. Data Preprocessing involves cleaning and transforming raw data into a suitable format for the model. Training involves feeding this preprocessed data to the model so it can learn patterns. Evaluation assesses the performance of the trained model.

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