Email Spam Detection Using Machine Learning NLP (Natural Language Processing)

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In this video, we explore how to use Machine Learning techniques and Natural Language Processing (NLP) to detect email spam. We start by understanding the concept of email spam and the challenges in identifying it. Next, we go through the steps involved in building a machine learning model for email spam detection, including data cleaning, text preprocessing, and model training.

We also discuss the Multinomial Naive Bayes classifier, which is a popular algorithm used for text classification tasks. Finally, we evaluate the performance of our model by analyzing the accuracy, confusion matrix, and classification report.

This video is perfect for anyone interested in learning about machine learning and natural language processing techniques used in email spam detection. It's also a great resource for data scientists and machine learning enthusiasts looking to expand their skills and knowledge in this field.

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#EmailSpamDetection #MachineLearning #NaturalLanguageProcessing #DataScience #TextClassification #MultinomialNaiveBayes #Python #Programming #ArtificialIntelligence #AI #TechTutorial #DataAnalytics
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