Electronic mail stays one of the crucial broadly used communication instruments throughout the globe — whether or not for private conversations, skilled correspondence, or digital advertising. Nevertheless, with the comfort of e mail comes a persistent problem: spam. These undesirable messages not solely litter our inboxes however may pose safety dangers by phishing, scams, and malware.
On this weblog, we’ll dive into constructing a strong spam detection system utilizing Pure Language Processing (NLP) and Machine Studying. With the assistance of Python and widespread libraries corresponding to Pandas, Scikit-learn, Matplotlib, and NLTK, we’ll undergo the complete pipeline — from information preprocessing and exploratory information evaluation (EDA) to function extraction, mannequin coaching, and efficiency analysis. Lastly, we’ll examine the accuracy of a number of fashions to find out the simplest one for spam classification.
