My Capstone Project for the programme "Applied Datascience: Machine Learning" at the EPFL Extension School
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Updated
Aug 20, 2021 - Jupyter Notebook
My Capstone Project for the programme "Applied Datascience: Machine Learning" at the EPFL Extension School
HR Analytics in R Script: "Why Employees leave the company?"
How do proliferation-migration tradeoffs affect phenotypic evolution in a tumors? In this off-lattice agent-based simulation the user can vary trade-off boundaries, death rate, and whether death occurs in response to demographic or environmental stochasticity. See the README file for details.
The Project is related to Regression and Technical Analysis of Stock Market, The link to project report:
Using sklearn, we encoded a set of algorithms to preprocess and create classifiers to predict turnover.
Survival analysis for employee turnover prediction
Supplementary code for "A revised marine fossil record of the Mediterranean before and after the Messinian Salinity Crisis". Generates summary statistics and maps.
Este repositório contém um notebook em Python criado com o objetivo de entender os motivos da alta taxa de turnover em determinada empresa e prever quanto tempo um empregado irá permanecer antes de sair.
This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and features.
Supplementary code for "Late Miocene transformation of Mediterranean Sea biodiversity"
This apps allow you display different statistics about your order.
R package for building turnover saturation curves via bootstrapping
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