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Spam News Detection Report
A machine learning project to detect and filter spam news articles through data preprocessing and algorithmic classification.
During my AI internship at Intrainz, I developed a detailed report on Spam News Detection. This project involved researching and implementing various machine learning algorithms to identify and filter spam news articles accurately. I analyzed large datasets, performed feature scaling, and encoded categorical data to enhance model performance. Through this project, I gained valuable experience in data preprocessing, model training, and evaluation, deepening my understanding of machine learning techniques and their application in real-world scenarios.
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