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Author: Faranak

Posted onMay 20, 2020March 19, 2021Human Resource

From Pandemic to Progress

COVID-19 business shutdown could be a possible bifurcation point towards an alignment with advanced digital world. Systems that moves away from a certain status quo will evolve….

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Posted onMay 7, 2020March 9, 2021Data Science

Predicting Attrition with R

I used IBM’s HR dataset to build supervised machine learning models to predict employees’ attrition. Using R studio, I created decision tree, random forest classifier, support vector Machine, gradient boost, and KNN algorithms …

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Posted onApril 24, 2020March 9, 2021Data Science

Exploring Employees’ Attrition (R)

In this post, I created some data visualizations in R to explore and find the key variables that influence the employee attrition using IBM-HR dataset

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Posted onMarch 16, 2020March 9, 2021Human Resource

AI and HR

Technological advancements aim to improve our daily life and facilitate the way we manage our work and respond to the complex world around us.  Human Resource (HR) management is amongst…

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Posted onMarch 7, 2020March 9, 2021Data Science

Accessing Blob Storage Data from Databricks

In this exercise: create a Databricks workspace in Azure portal and connect it to a blob storage using key vault and secret scope…

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Posted onFebruary 19, 2020March 9, 2021Data Science

Data Exploration in Databricks

In this post, I explain how to explore and clean your data using Databricks. At the end I build a simple linear regression model to predict employees tenure.

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Posted onJanuary 22, 2020March 9, 2021Data Science

Data Science Processes

Data science can provide HR managers with unique techniques for forecasting and processes optimization. It can improve HR practices through forecasting the human capital….

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Posted onJanuary 19, 2020March 9, 2021Data Science

Data Cleansing in Azure ML Studio (classic)

In this post, I explain data cleaning and preprocessing using Azure machine learning studio (classic).

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Posted onSeptember 15, 2019March 9, 2021Human Resource

HR Analytics

In the twenty first century, organizations operate in a complex environment consisting of constant development in technologies, digital communications, and generation of a vast amount of data. To remain competitive,…

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