Proyecto - Desgaste y rendimiento de empleados de IBM HR Analytics

Overview

Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas.

Links de acceso:

Notebook 1: https://drive.google.com/file/d/1biA6SF-_dz4sPF-mmNnDx-HnamGGKryr/view?usp=sharing

Notebook 2: https://drive.google.com/file/d/1bmYAdKFuSNIvLIgpftU8Qcif7T0tOxRI/view?usp=sharing

Corto video explicativo: https://youtu.be/t57q2f2bDLk

Proyecto - Desgaste y rendimiento de empleados de IBM HR Analytics

Predecir el desgaste de sus empleados más valiosos

1. Entendimiento del negocio

Objetivos de negocio

La deserción es un problema que afecta a todas las empresas, independientemente de la geografía, la industria y el tamaño de la empresa. La deserción de empleados genera costos significativos para una empresa, incluido el costo de la interrupción del negocio, la contratación de nuevo personal y la capacitación de nuevo personal. Como tal, existe un gran interés empresarial en comprender los factores que impulsan y minimizar el desgaste del personal.

Este conjunto de datos presenta una encuesta de empleados de IBM, que indica si hay deserción o no. El conjunto de datos contiene aproximadamente 1500 entradas.

Metas del Proyecto de machine learning

Predecir el desgaste de los empleados más valiosos. Descubrir los factores que conducen al desgaste de los empleados y explorar cuestiones importantes como "La relación entre la distancia de la casa al trabajo por puesto de trabajo y el desgaste" o "La relación entre el ingreso mensual promedio por educación y desgaste". Este es un conjunto de datos ficticios creado por científicos de datos de IBM

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