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KfirTayar / ML-Text-Analysis

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This project is about building a classification model to predict gender based on a corpus of student-written stories. It applies text preprocessing techniques such as tokenization, normalization, and TF-IDF Vectorization. As part of the machine learning process, model selection and evaluation were conducted using cross-validation and GridSearchCV.

data-science machine-learning tokenization test-analysis
  • Updated Oct 7, 2024
  • Jupyter Notebook

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