Firstly, you need to understand little bit about what is Traditional Programming. Traditional Programming is one of the simplest programming system. You are one who creates the program which then process information according to condition/rules defined by you and you get the output. Let's take an example of traditional programming that you can understand clearly. In this diagram we can see Traditional Programming.

The ML-model leverages supervised learning and tokenization to clear the spam messages from the mail. The amount of mails sent and received has significantly increased over the past few years. A report states that more than 300 billion emails were sent and received each day in 2020, and this figure is expected to increase by over 361 billion emails daily in 2024. Spam mails contribute majorly to this exponential increase in mails. And while cleaning the spam messages from the Gmail account might seem tricky, the machine learning model holds more accountability than the traditional method to perform the task.

In 1978, some 400 ARPANET (Advanced Research Projects Agency Network) users received an email about a product viewing of new computer models. Gary Thuerk -- a marketer working for the Digital Equipment Corporation (DEC) -- thought it would be a good idea to email people on the network to sell computer products. While it drew interest from some of the recipients, a portion expressed annoyance at the then-unnamed intrusive advertising. Several years later, the cybersecurity industry called emails of a similar nature "spam," describing it as unwanted bulk email advertising products or services. Unfortunately, Thuerk's incidental infamy in e-marketing decades ago has been surpassed by today's cybercriminals: In 2002, spam distribution reached 2.4 billion per day; today, it has reached more than 300 billion. And while previously the repercussions of the overwhelming volume of spam simply included system performance issues, they now include more serious complications especially for businesses as cybercriminals use spam for phishing and other malicious purposes.