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A machine learning algorithm is any mathematical model that can learn from data without being explicitly programmed. In order to train a machine learning algorithm, we need to provide examples of each outcome we want our algorithm to predict. These examples are called training sets. Once we have trained our algorithm, we can use it to make predictions based on unseen data. This unseen data is called a testing set. Machine Lear...

A machine learning algorithm is any mathematical model that can learn from data without being explicitly programmed. In order to train a machine learning algorithm, we need to provide examples of each outcome we want our algorithm to predict. These examples are called training sets. Once we have trained our algorithm, we can use it to make predictions based on unseen data. This unseen data is called a testing set. Machine Lear...

A machine learning algorithm is any mathematical model that can learn from data without being explicitly programmed. In order to train a machine learning algorithm, we need to provide examples of each outcome we want our algorithm to predict. These examples are called training sets. Once we have trained our algorithm, we can use it to make predictions based on unseen data. This unseen data is called a testing set. Machine Lear...

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