MuberraKocak

endsproje2yarenbusemuberra

gaih-students-repo-example

Human-Resource-Data-Prediction-Analysis

Analysis of employee data in the dataset "HR_comma_sep.csv" to find out what contributes to employees leaving the company.

Aras-Copras-Topsis-Vikor-Masaustu-Uygulamasi

Code adlı butona tıklayıp dosyayı zip halinde indirdikten sonra rardan çıkartıp setup ya da çkkv editor isimli dosyalardan herhangi birisine tıklayarak kurulum işlemini gerçekleştirebilirsiniz.

aras-copras-vikor-topsis-mabac-saw-edas

code isimli butona tıklayarak zip olarak indirebilir dosyayı rardan çıkardıktan sonra CKKV Editor yada setup.exe yazan dosyalardan herhangi biri ile kurulum yapabilirsiniz

code_snippets

comsoal-algorithm

Comsoal Algorithm with Python Programming Language fro Assembly Line Balancing. The dataset obtained from https://assembly-line-balancing.de/salbp/benchmark-data-sets-1993/.

cpython

The Python programming language

data-structure-python

dbskill

Database of personnel skills

devguide

The Python developer's guide

docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

docs

TensorFlow documentation

Helpers

Some snippets that always help with my work.

HR-Analytics

HR Analytics Dataset

introduction-to-python

mypy

Optional static typing for Python 3 and 2 (PEP 484)

peps

Python Enhancement Proposals

playStoreGames-Puan-Tahmini

Konu: Kendi Belirlediğimiz bir problem için uzman sistem oluşturma

pootle-python-org-backup

python-and-ml-education

python-cheatsheet

Comprehensive Python Cheatsheet

python-docs-fr

French translation of the Python documentation.

python_mini_projeler

python ile yaptığım minik projeler

pythondotorg

Source code for python.org

small-small-hr

Minimal human resource management app for Django

typeshed

Collection of library stubs for Python, with static types

Women-in-tech_HRM

About the Project's Topic and the Broad Context There are assumptions made that female engineers are unrepresented in companies operating in the technology sector. This is something that is beneficial to study in length and in various ways. There are several existing studies shared publicly. One of these studies was written by Tara Siegel in 2014. It is the belief of our team that interesting findings can be made by looking at the representation of women in the technology sector of the recent past. These findings - collected in this project - could perhaps one day inspire others to conduct similar studies and by that add to the pool of research made on the topic. Background This project was written by Yongbing Tao-Topinoja, Sejal Seth and Rami Laaksonen. Our three-member team represents diverse nationalities, academic backgrounds and past fields of work. The project forms the team's final project for the Python for Data Analysis training program. The training program was organized by The Shortcut Oy in Helsinki, Finland from February until April 2020.

Yapay_Zeka_ve_Uzman_Sistemler_Proje

YMH 410 - Yapay Zeka ve Uzman Sistemler - Bahar Dönemi projesi

youtube_courses