anukalp-mishra/Resume-Screening
Machine Learning Project on Resume Screening using Python
Applies NLP and KNN classification with scikit-learn to extract candidate qualifications (skills, experience, education) from resume text, then evaluates them against job requirements. The project includes multiple classifier implementations—Logistic Regression, SVM, Random Forest, and Neural Networks—trained on labeled resume datasets and evaluated using standard metrics (accuracy, precision, recall, F1-score). Leverages NLTK for text processing and pandas/NumPy for data handling across Jupyter notebooks that guide preprocessing, model training, and inference workflows.
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Jupyter Notebook
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Jan 29, 2025
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