pratikmehtak,github

accelerators

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

churn201

Simple employee cost/benefit model with plots. Supports a series of blog entries.

class_survival_101

A brief code example in association with a presentation about Survival Analytics

developer-roadmap

Roadmap to becoming a web developer in 2021

employee-attrition

An R-shiny app for employee attrition analysis

employee-churn-understanding-using-ml-and-lime

Using machine learning with LIME to understand employee churn (by Brad Boehmke)

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

glassdoor-analysis

Capstone Project for Galvanize - Using web scraping and NLP to analyze why some companies are better employers than others.

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

hr-analytics-1

Retaining key employees is a major stake for any organization but are there reliable ways to figure out if and why the best and most experienced employees are leaving prematurely? Most firms these days are already integrating the benefits of using analytics to introduce special efforts in retaining employees as well as in hiring decisions. Lot of factors play key role in identifying significant predictors offering insights and meaning that can be interpreted using a statistical modelling language such as R. In this project, I have used HR Analytics dataset from Kaggle that is fictitious in nature because no company will share its personally identifiable records