MACHINE LEARNING UEM PACKAGE It is a machine learning model to verify the error. GETTING STARTED: These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. Prerequisits: First thing you need it is to install python 3 or high on your pc because this model runs whit it. Second you must download package from github 'https://github.com/ml-uem/data-sci-lab'. Installing:
- Install extensions: 'Python' and 'Git' on your 'VSC' or other coding program
- Use command 'pip install' for example 'pip install mypackages', 'pip install numpy'... RUNNING TEST
- You have to run file call 'init.py' which has all classes for regressions
- Choose regression you want to study your dataset and verify your error
- In folder 'samples' you can load the data to view
DEPLOYMENT
/_ SimpleLinearRegression
/_ MultipleLinearRegression
mluem
/ _ LogisticRegression
/ _ KNN Files \
\ /_ log_reg samples _ slr BUILT WITH - Python 3: coding
- Github: upload and download the model
- Inside of Python, libraries like 'numpy' and 'pandas': help coding CONTRIBUTING For now, only the members who create the model can contribute. VERSIONING Version: '0.2' AUTHORS • Luis Martin: Boss and pull request reviewer • Juan Luis Trejo, Ricardo Sanchez, Santi Quintero, Victor Cañamero, Pablo Gomez, Andres Elizalde and Eduardo Esteban: construccion of the model LICENSE This project is licensed under the MIT License - see the LICENSE.md file for details