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Classification Model Builder

building-classification-models

jeremylongshore/claude-code-plugins-plus-skills

Automates building and evaluating classification models by analyzing datasets, selecting features, tuning hyperparameters, and reporting metrics via the classification-model-builder plugin for supervised learning requests.

Scikit Learn ML Guide

K-Dense-AI/claude-scientific-skills

Comprehensive guidance for building classical machine learning workflows with scikit-learn, spanning supervised and unsupervised algorithms, preprocessing, evaluation, tuning, and production-ready pipelines for structured or text data.

UMAP Manifold Reduction

K-Dense-AI/claude-scientific-skills

UMAP-Learn delivers fast nonlinear dimensionality reduction for visualization, clustering prep, and feature engineering; it mirrors scikit-learn APIs and supports supervised/semi-supervised embeddings with tunable parameters.

LeCun Technical Module

yann-lecun-tecnico

sickn33/antigravity-awesome-skills

Deep-dive assistant covering CNNs, LeNet, backpropagation, JEPA variants, self-supervised learning (SimCLR, MAE, BYOL), EBMs, AMI concepts, and full PyTorch code—ideal for complex Yann LeCun–style discussions.

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