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udaykiran9392 / fakenews_detection_using_ML

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Implemented a machine learning model to detect fake news using Natural Language Processing techniques like TF-IDF and stemming. Trained multiple classifiers including Logistic Regression and PassiveAggressiveClassifier for accurate classification. This project showcases practical NLP skills for tackling misinformation in media.

python nlp machine-learning natural-language-processing text-classification scikit-learn jupyter-notebook seaborn logistic-regression stemming stopwords-removal tfidf-text-analysis googlecolab passive-aggressive-classifier textvectorization matplotib tfidfvectorization
  • Updated May 24, 2025
  • Jupyter Notebook

suraj5424 / Bakery-Sales-Analysis-Dashboard-and-Prediction

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Explore bakery sales data and AI predictions with Python. Analyze trends, visualize insights, and model product sales using pandas, matplotlib, and scikit-learn in this comprehensive GitHub repository.

python data-science machine-learning dashboard analytics analysis linear-regression pandas feature-engineering powerbi datacleaning datamanipulation predictionmodel kips matplotib
  • Updated Jun 24, 2024
  • Jupyter Notebook

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