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Search Learning , found 15 results

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Transfer Learning Adaptation Skill

adapting-transfer-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Automates adapting pretrained models via transfer learning by analyzing requirements, generating PyTorch or TensorFlow fine-tuning code, validating data, tracking KPIs, and saving artifacts so you can quickly reuse existing models for new datasets and tasks.

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.

AutoML Pipeline Builder

building-automl-pipelines

jeremylongshore/claude-code-plugins-plus-skills

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

Advanced Data Science Expert

sickn33/antigravity-awesome-skills

Provides expert guidance on advanced analytics, machine learning, and statistical modeling, covering the full data science workflow from exploratory analysis to production-ready models and stakeholder reporting.

Machine Learning Model Evaluation

evaluating-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Provides detailed evaluation of machine learning models using plugin metrics to assess accuracy, precision, recall, F1, and other key indicators, helping users compare models and validate performance before deployment.

Feature Importance Analyzer

feature-importance-analyzer

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance on assessing feature importance for machine learning training, covering data prep, model training, tuning, and experiment tracking while generating production-ready code, configurations, and validation instructions for best-practice compliance.

Automated Data Preprocessing

preprocessing-data-with-automated-pipelines

jeremylongshore/claude-code-plugins-plus-skills

This skill builds and executes automated pipelines to clean, validate, and transform data for machine learning, covering ETL workflows, error handling, and quality reporting so Claude can deliver analysis-ready datasets.

Dataset Splitter Tool

splitting-datasets

jeremylongshore/claude-code-plugins-plus-skills

Automates splitting datasets into training, validation, and test subsets by generating and running Python code so you can quickly prepare data for machine learning model training and evaluation.

Machine Learning Training

training-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Automates the end-to-end training of machine learning models by analyzing datasets, selecting suitable algorithms, tuning parameters, performing cross-validated training, and emitting performance metrics plus a saved model artifact.

Molecular ML Toolkit

K-Dense-AI/claude-scientific-skills

DeepChem is a Python library for molecular machine learning, bundling data loaders, featurizers, splitters, and models so researchers can rapidly predict molecular properties, benchmark on MoleculeNet, or build drug discovery and materials pipelines.

DiffDock Molecular Docking

K-Dense-AI/claude-scientific-skills

DiffDock uses diffusion-based deep learning to predict protein-ligand binding poses and confidence scores from PDB files, sequences, or SMILES/SDF inputs, enabling single-target docking or large-scale virtual screening campaigns for structure-based drug design.

Molecular Featurization Hub

K-Dense-AI/claude-scientific-skills

Molfeat is a Python hub for turning SMILES or RDKit molecules into 100+ featurizers and pretrained embeddings, powering QSAR, screening, similarity, and deep learning workflows with transformers, calculators, caching, and parallel processing.

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