Supervised machine learning using a data set of 2500 ham and 500 spam emails. Data is also split into train and test sets of various sizes to test the classifier's efficiency.
Supervised machine learning using a data set of 2500 ham and 500 spam emails. Data is also split into train and test sets of various sizes to test the classifier's efficiency. (Python)
Supervised machine learning using a data set of 2500 ham and 500 spam emails. Data is also split into train and test sets of various sizes to test the classifier's efficiency.
Supervised machine learning using a data set of 2500 ham and 500 spam emails. Data is also split into train and test sets of various sizes to test the classifier's efficiency. (Python)