https://github.com/laar19/machine-learning-guide

Pasos básicos para entrenar modelos de clasificación y agrupamiento
https://github.com/laar19/machine-learning-guide

aprendizaje-supervisado jupyter-notebook machine-learning matplotlib pandas python3 scikit-learn seaborn supervised-learning unsupervised-learning

Last synced: 25 days ago
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Pasos básicos para entrenar modelos de clasificación y agrupamiento

• Host: GitHub
• URL: https://github.com/laar19/machine-learning-guide
• Owner: laar19
• License: gpl-3.0
• Created: 2019-10-14T20:08:52.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-12-09T16:08:14.000Z (over 5 years ago)
• Last Synced: 2026-01-24T03:33:28.490Z (5 months ago)
• Topics: aprendizaje-supervisado, jupyter-notebook, machine-learning, matplotlib, pandas, python3, scikit-learn, seaborn, supervised-learning, unsupervised-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 3.14 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Basic steps for clustering, using the Credit Card Dataset for Clustering

    Reading the data.

    Preparation of the data.

    Grouping the data.

    Grouping the data (scaling).

    Select the best number of groups.

# Basic steps to train classification models, using the Telco Customer Churn dataset

    Reading the data.

    Preparation of the data.

    Training and evaluation of the models.

    Defining the best parameters.

    Predicting.