Q2: What are some common characteristics of spam emails that…

Q2: What are some common characteristics of spam emails that email filters look for?a)Suspicious Subject Lines: Urgent offer, & You’ve won.b)Excessive Keywords: Free,Win, Limited timec)Malicious Attachments: Executable filesd)Grammar Errors: Poor spelling or awkward phrasing.e) All of tehe above

The following algorithm is described as a PCA. Is it true or…

The following algorithm is described as a PCA. Is it true or false?1.Standardize the Data: Standardize the dataset by subtracting the mean and dividing by the standard deviation for each feature, ensuring all features have the same scale.2.Compute the Covariance Matrix: The covariance matrix represents how much each of the features varies with every other feature. It helps identify correlations between features.3.Calculate the Eigenvalues and Eigenvectors: Eigenvalues measure the variance captured by each principal component. Eigenvectors define the direction of these components in the feature space.4.Sort Eigenvalues and Eigenvectors: Sort the eigenvalues in descending order. The higher the eigenvalue, the more important the corresponding eigenvector is.Select the top k eigenvectors that capture the most variance (the top k principal components).5.Project Data onto New Axes: The final step is to transform the original dataset into the new space defined by the selected eigenvectors. This reduces the dimensionality of the data.