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

Cleaner script to normalize knock's output EPUBs

clean-epub The excellent knock application by Benton Edmondson outputs EPUBs that seem to be DRM-free. However, if you run the application twice on th

2 Dec 16, 2022
Project documentation with Markdown.

MkDocs Project documentation with Markdown. View the MkDocs documentation. Project release notes. Visit the MkDocs wiki for community resources, inclu

MkDocs 15.6k Jan 02, 2023
Test utility for validating OpenAPI documentation

DRF OpenAPI Tester This is a test utility to validate DRF Test Responses against OpenAPI 2 and 3 schema. It has built-in support for: OpenAPI 2/3 yaml

snok 106 Jan 05, 2023
Generates, filters, parses, and cleans data regarding the financial disclosures of judges in the American Judicial System

This repository contains code that gets data regarding financial disclosures from the Court Listener API main.py: contains driver code that interacts

Ali Rastegar 2 Aug 06, 2022
Types that make coding in Python quick and safe.

Type[T] Types that make coding in Python quick and safe. Type[T] works best with Python 3.6 or later. Prior to 3.6, object types must use comment type

Contains 17 Aug 01, 2022
Build AGNOS, the operating system for your comma three

agnos-builder This is the tool to build AGNOS, our Ubuntu based OS. AGNOS runs on the comma three devkit. NOTE: the edk2_tici and agnos-firmare submod

comma.ai 21 Dec 24, 2022
More detailed upload statistics for Nicotine+

More Upload Statistics A small plugin for Nicotine+ 3.1+ to create more detailed upload statistics. ⚠ No data previous to enabling this plugin will be

Nick 1 Dec 17, 2021
A curated list of awesome mathematics resources

A curated list of awesome mathematics resources

Cyrille Rossant 6.7k Jan 05, 2023
MkDocs Plugin allowing your visitors to *File > Print > Save as PDF* the entire site.

mkdocs-print-site-plugin MkDocs plugin that adds a page to your site combining all pages, allowing your site visitors to File Print Save as PDF th

Tim Vink 67 Jan 04, 2023
Projeto em Python colaborativo para o Bootcamp de Dados do Itaú em parceria com a Lets Code

🧾 lets-code-todo-list por Henrique V. Domingues e Josué Montalvão Projeto em Python colaborativo para o Bootcamp de Dados do Itaú em parceria com a L

Henrique V. Domingues 1 Jan 11, 2022
An introduction to hikari, complete with different examples for different command handlers.

An intro to hikari This repo provides some simple examples to get you started with hikari. Contained in this repo are bots designed with both the hika

Ethan Henderson 18 Nov 29, 2022
Legacy python processor for AsciiDoc

AsciiDoc.py This branch is tracking the alpha, in-progress 10.x release. For the stable 9.x code, please go to the 9.x branch! AsciiDoc is a text docu

AsciiDoc.py 178 Dec 25, 2022
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Have you always wished Jupyter notebooks were plain text documents? Wished you could edit them in your favorite IDE? And get clear and meaningful diff

Marc Wouts 5.7k Jan 04, 2023
A tutorial for people to run synthetic data replica's from source healthcare datasets

Synthetic-Data-Replica-for-Healthcare Description What is this? A tailored hands-on tutorial showing how to use Python to create synthetic data replic

11 Mar 22, 2022
Gaphor is the simple modeling tool

Gaphor Gaphor is a UML and SysML modeling application written in Python. It is designed to be easy to use, while still being powerful. Gaphor implemen

Gaphor 1.3k Jan 03, 2023
204-python-string-21BCA90 created by GitHub Classroom

204-Python This repository is created for subject "204 Programming Skill" Python Programming. This Repository contain list of programs of python progr

VIDYABHARTI TRUST COLLEGE OF BCA 6 Mar 31, 2022
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio

learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your

BDFD 6 Nov 05, 2022
Course Materials for Math 340

UBC Math 340 Materials This repository aims to be the one repository for which you can find everything you about Math 340. Lecture Notes Lecture Notes

2 Nov 25, 2021
Code for our SIGIR 2022 accepted paper : P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning

P3 Ranker Implementation for our SIGIR2022 accepted paper: P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-bas

14 Jan 04, 2023
Use Brainf*ck with python!

Brainfudge Run Brainf*ck code with python! Classes Interpreter(array_len): encapsulate all functions into class __init__(self, array_len: int=30000) -

1 Dec 14, 2021