ml-expert

What problem does it solve?

This Skill provides expert guidance and practical code examples for building, training, deploying, and managing machine learning and deep learning models, along with MLOps best practices.

Core Features & Use Cases

• Machine Learning: Covers fundamentals, supervised/unsupervised learning, and model training with Scikit-learn.
• Deep Learning: Offers PyTorch examples for neural networks, training, and evaluation.
• MLOps: Demonstrates model deployment with FastAPI and experiment tracking with MLflow.
• Use Case: A data scientist can use this Skill to quickly set up a training pipeline for a Random Forest classifier, deploy it as a microservice, and track experiments using MLflow.

Quick Start

Use the ml-expert skill to train a Random Forest classifier on the provided data and save the model.