Guided Learning Module - MLDL Predicting Employee Attrition Using Random Forest With IBM Cloud Analysis of Employee Turnover Rate of a company by building Logistic Regression model and Random Forest Classifier, validated by 10-Fold Cross Validation, completely coded on Python. Conduction of investigation into most influential factors for turnover and exploratory Visualization (seaborn, matplotlib) based on prediction results. Application integrated with IBM Cloud to be deployed as an API.
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