Análises de RH analytics e BI realizada
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Updated
Jul 24, 2023
Análises de RH analytics e BI realizada
This repo contains my HR Analytics project to predict employee attrition using an IBM dataset.
Based on employee data recorded during 16 years of activity, a company seeks to reduce turnover rate, absences, and employee dissatisfaction; and increase performance.
Crawl information from github in friendly manner.
Utilize o Watson para otimizar analise de currículos e descobrir sua área de vocação
This repository contains the files necessary to build my free ebook called "Python for HR: An Introduction to Human Resource Analytics Using Python".
This repository contains the files necessary to build my free ebook called "R for HR: An Introduction to Human Resource Analytics Using R".
Healthcare Sector Employee Attrition Exploratory Data Analysis ## Introduction In this notebook we are going to apply an Exploratory Data Analysis (EDA) to the Watson Health Care employees dataset. The dataset contains employee and company data useful for supervised ML, unsupervised ML, and analytics. The main scope of the EDA is to analyse and…
A Human Resource Analytics project that addresses the question "Why do employees leave?". Also helps us better understand factors for employee satisfaction
People analytics project in R that implements predictive modeling to identify employees most likely to leave a company. Discussion around implications for the sample firm and proposed interventions draw on best practices in organizational development.
This repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management
A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and most experienced employees leaving prematurely?
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