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EMAIL SPAM DETECTOR: A TOOL TO MONITOR AND DETECT SPAM ATTACKS GRADUATE PROJECT REPORTSubmitted to the Faculty of The School of Engineering & Computing Sciences Texas A&M UniversityCorpus Christi
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How to fill out email spam detector a

01
Gather a dataset of emails that are labeled as spam or not spam.
02
Preprocess the emails by removing any unnecessary characters or words.
03
Split the dataset into a training set and a testing set.
04
Apply feature extraction techniques to convert the emails into a numerical representation.
05
Train a machine learning model using the training set, such as Naive Bayes or Support Vector Machines.
06
Evaluate the performance of the model using the testing set.
07
Fine-tune the model by adjusting hyperparameters or trying different algorithms.
08
Once the model achieves satisfactory performance, deploy it as an email spam detector.
09
Continuously update the model with new data to improve its accuracy and effectiveness.

Who needs email spam detector a?

01
Anyone who receives a significant amount of emails and wants to filter out spam messages.
02
Organizations and businesses that want to protect their employees from phishing attempts.
03
Email service providers that aim to enhance user experience by automatically filtering spam emails for their customers.
04
Individuals who want to have better control over their inbox and reduce the time spent on managing spam.
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Email spam detector a is a tool or software designed to identify and block unsolicited or unwanted emails.
Anyone who receives and wants to prevent email spam can use an email spam detector.
To use an email spam detector, you typically just need to install the software or tool and configure it according to your preferences.
The purpose of an email spam detector is to help users filter out spam emails and protect their inbox from unwanted messages.
The information reported on an email spam detector may include the sender's email address, subject line, and content of the email.
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