Explain all the stages of creating a machine learning model on a given dataset

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Accepted Answer

Creating a machine learning model involves data preparation, model selection, training, evaluation, and deployment.

Data preparation involves cleaning, transforming, and splitting the data into training and testing sets.
Model selection involves choosing the appropriate algorithm and hyperparameters for the problem.
Training the model involves feeding the training data to the algorithm and adjusting the parameters to minimize the error.
Evaluation involves testing the model on the testing data and measuring its performance using metrics such as accuracy, precision, and recall.
Deployment involves integrating the model into a production environment and making predictions on new data.
Examples of machine learning models include linear regression, decision trees, and neural networks.

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