Employee Turnover Analysis and Prediction using NLP 📊

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Explore the application of Natural Language Processing (NLP) in human resources by addressing the challenge of employee turnover prediction. The project involves analyzing the IBM HR Analytics dataset using structured data converted into text for better insights. Employing techniques such as Part-of-Speech tagging, pattern analysis, and Named Entity Recognition, the analysis enhances feature engineering with methods like BoW, TF-IDF, and Word2Vec. Machine learning models, including Logistic...