GitHub topics: count-vectoriation
keerthivnair/Email-Spam-Detection-NaiveBayes
This repo consists of Naive Bayes algo from scratch and Email-Spam classification project using Naive Bayes
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Shubhamd1234/SMS_Spam_Detection_Model_Using_NLP
An NLP-based model designed to effectively identify and filter spam SMS messages. NLTK Library, Text Preprocessing, IF-IDF and more techniques used.
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Annarhysa/Spam-Classifier
Building a basic spam classifier with Tf-IDF Vectorizer and Naïve Bayes model
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ShubhamMore4/Project-Resume_Classification
Resume classification is the task that automatically categorizes resumes or CVs into predefined domain categories or classes based on their content. This task is essential for the job recruitment process, particularly when organizations receive a large number of applications for various positions.
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Aman-Gupta-Ji/Chat-Bot
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jacquie0583/Hottest-Topics-in-Machine-Learning
Neural Information Processing Systems is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, we analyzed a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning. The techniques used here to handle large amounts of data can be applied to other text datasets as well.Familiarity with Python and pandas is required to complete this Project, as well as experience with Natural Language Processing in Python, sklearn specifically.
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