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19AI410-Introduction to Machine Learning
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What does df.head() do in this code snippet?
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In the context of Simple Linear Regression, what does the dependent variable represent when predicting marks?
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What does Y_pred = regressor.predict(X_test) do?
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What does np.sqrt(mse) calculate?
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What does it mean if the R-squared value of a Simple Linear Regression model is close to 1?
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If the slope (m) in a Simple Linear Regression model is positive, what does it imply?
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What does mean_squared_error(Y_test, Y_pred) calculate?
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If the correlation coefficient (r) between study hours and marks is -0.8, what does this indicate about the relationship?
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What does it mean if the p-value associated with the slope coefficient is less than the significance level (e.g., 0.05)?
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What is the purpose of Simple Linear Regression in predicting marks scored?
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