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Given person = {“name”: “Alice”, “age”: 30}, how do you access the age?

Code Correction: The following scikit-learn code is supposed to train a linear regression model and make predictions, but it has errors. Identify and fix ALL the errors. from sklearn.linear_model import linearRegression model = LinearRegression model.fit[X_train, y_train] predictions = model.predict[X_test] Write the corrected code below:

Which chart type is best for comparing values across different categories?

A false positive in classification occurs when:

What is the mean of the dataset [2, 4, 6, 8, 10]?

In hypothesis testing, what does the null hypothesis typically represent?

An ROC curve plots:

What Matplotlib function adds a legend to a plot? (Enter just the function name after plt.)

Code Correction: The following code is supposed to perform a groupby operation and calculate the mean salary by department, but it has errors. Identify and fix ALL the errors. avg_salary = df.groupby[“department”][“salary”].mean print(avg_salary) Write the corrected code below:

Given person = {“name”: “Alice”, “age”: 30}, how do you access the age?