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Created a classifier that can distinguish spam emails from ham (non-spam) emails

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Spam vs Ham Email Classifier (2019)

Tools: Python (numpy, pandas, seaborn, matplotlib), Jupyter Notebooks

  • Created logistic regression classification model for spam email detection
  • Improved accuracy through feature engineering using Regular Expresions and pandas
  • Validated model performance and minimized overfitting through cross validation
  • Participated in class-wide Kaggle competition and achieved a test accuracy of 0.90857

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Created a classifier that can distinguish spam emails from ham (non-spam) emails

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classifier school-project kaggle-competition logistic-regression feature-engineering spam-filtering spam-detection student-project spam-classification

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