anwendungsfelder_business_analytics

Benchmarking von Modellen zur Vorhersage der Erstattungswahrscheinlichkeit im Bewertungsprozess von Artikeln im Recommerce

https://github.com/daniel-knape/anwendungsfelder_business_analytics

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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Scientific vocabulary similarity
Low similarity (9.9%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Benchmarking von Modellen zur Vorhersage der Erstattungswahrscheinlichkeit im Bewertungsprozess von Artikeln im Recommerce

Basic Info

Host: GitHub
Owner: daniel-knape
Language: Jupyter Notebook
Default Branch: main
Homepage:
Size: 23.7 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created almost 4 years ago · Last pushed over 3 years ago

Metadata Files

Readme Citation

Analysis project for the module Anwendungsfelder Business Analytics

Visual Studio Code

This repository is optimized for Visual Studio Code which is a great code editor for many languages like Python and Javascript. The introduction videos explain how to work with VS Code. The Python tutorial provides an introduction about common topics like code editing, linting, debugging and testing in Python. There is also a Data Science section showing how to work with Jupyter Notebooks and common Machine Learning libraries.

The .vscode directory contains configurations for useful extensions like GitLens and Python. When opening the repository, VS Code will open a prompt to install the recommended extensions.

Development Setup

Open the integrated terminal and run the setup script for your OS. This will install a Python virtual environment with all packages specified in requirements.txt.

If everything works you should be able to activate the Python environment by entering source .venv/bin/activate in the terminal. The command python src/hello.py will print the text "hello world" to your terminal.

Linux and Mac Users

run the setup script ./setup.sh or sh setup.sh

Windows Users

run the setup script .\setup.ps1

Development

activate python environment: source .venv/bin/activate
run python script: python <srcfilename.py>, e.g. python train.py
install new dependency: pip install sklearn
save current installed dependencies back to requirements.txt: pip freeze > requirements.txt

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Anwendungsfelder Business Analytics
message: >-
  message: If you use this software, please cite it
  using the metadata from this file.
type: software
authors:
  - family-names: Knape
    given-names: Daniel
    email: danielknape@outlook.com
    date-released: 2022-08-25
    url: "https://github.com/daniel-knape/Anwendungsfelder_Business_Analytics"

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