scikit-learn

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

scikit-learnsupervised-learningunsupervised-learningml-pipelines

ovachiever

81

machine-learning

Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML

machine-learningscikit-learnXGBoostmodel-evaluation

pluginagentmarketplace

11

Machine Learning

Python machine learning with scikit-learn, PyTorch, and TensorFlow

scikit-learnpytorchtensorflowpython

pluginagentmarketplace

1

ML Model Training

Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks

machine-learningdeep-learningpytorchtensorflow

aj-geddes

301