Post by Cheerla Mahendra

Name: Task 5 & 6 — Spam Mail Detection using Machine Learning Built a Machine Learning model to classify e
Uploaded: 2026-06-09T18:50:20.204Z
Channel: Cheerla Mahendra
Description: Task 5 & 6 — Spam Mail Detection using Machine Learning Built a Machine Learning model to classify emails as Spam or Ham . 🔧 Key Highlights: • Used Python, Pandas, and Scikit-learn • Applied TF-IDF V

Student at G. Pulla Reddy Engineering College

Task 5 & 6 — Spam Mail Detection using Machine Learning Built a Machine Learning model to classify emails as Spam or Ham . 🔧 Key Highlights: • Used Python, Pandas, and Scikit-learn • Applied TF-IDF Vectorization for text processing • Trained a Multinomial Naive Bayes classifier • Evaluated the model using Accuracy, Precision, Recall, and Confusion Matrix 📊 Results: • Achieved around 97–98% accuracy • Successfully predicted spam emails on unseen data This project helped me gain practical experience in Natural Language Processing (NLP) and Machine Learning. #MachineLearning #NLP #SpamDetection #Python #DataScience #InternPe #Internship

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