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Evaluation of various ML models for text using NLP driven approach for imbalanced data while balancing data using over and under sampling technique.

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AshutoshPNagaonkar/NLP_Driven_ML_Models_Performance_Evaluation

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NLP_Driven_ML_Models_Performance_Evaluation

ML models, NLP, performance comparison

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Evaluation of various ML models for text using NLP driven approach for imbalanced data while balancing data using over and under sampling technique.

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sklearn plotly seaborn feature-extraction nltk logistic-regression matplotlib tf-idf feature-engineering nlp-machine-learning tokenization lemmatization vectorisation multinomial-naive-bayes imblearn text-preprocessing under-sampling over-sampling smote-sampling complement-naive-bayes

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