This project delves into the exploration and analysis of an educational and private dataset, which gathers data from employees to assess their work-life balance. The analysis involves the implementation of various machine learning models, including Linear Regression and KNN Regressor for prediction, Logistic Regression and KNN Classifier for classification, and Principal Component Analysis for unsupervised learning.
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Analysis employees' work-life balance
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