Harshith Kumar K M on LinkedIn: #machinelearning #spamdetection #emailfiltering #nlp #python #datascience…
Harshith Kumar K M on LinkedIn: #machinelearning #spamdetection #emailfiltering #nlp #python #datascience…
📧🚫 Tackling the challenge of unwanted emails! I recently completed a project on Email Spam Detection using Machine Learning, where I developed Oasis InfobyteA model to classify emails as spam or legitimate.Project highlights: 📂 Processed and cleaned email datasets for feature extraction. 🔍 Applied Natural Language Processing (NLP ...
linkedin.com1 个月前
Email Spam Prevention
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Spam Email Filters. A study by Forbes indicated that the five most common words appearing in spam emails are shipping!, today!, here', available, and fingertips!. Many spam filters separate spam from ham (email not considered to be spam) through application of Bayes" theorem. Suppose that for one email account, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam email are given below. shipping! .051 today! .045 he
Spam Email Filters. A study by Forbes indicated that the five most common words appearing in spam emails are shipping!, today!, here', available, and fingertips!. Many spam filters separate spam from ham (email not considered to be spam) through application of Bayes" theorem. Suppose that for one email account, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam email are given below. shipping! .051 today! .045 he
numerade.com
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