An open API service providing repository metadata for many open source software ecosystems.

GitHub / sciustea / Improve-Machine-Learning-Model-Accuracy_Feature-Engineering_Python

Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sciustea%2FImprove-Machine-Learning-Model-Accuracy_Feature-Engineering_Python
PURL: pkg:github/sciustea/Improve-Machine-Learning-Model-Accuracy_Feature-Engineering_Python

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 120 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: classification-algorithm, data-science, feature-engineering, jupyter-notebook, machine-learning, machine-learning-algorithm, machine-learning-model, model-accuracy, python, testing-data, training-data

    Loading...