data-ai-ml-skill
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
Explorez les skills IA publiés de pluginagentmarketplace et consultez leurs instructions source.
Skills indexés
678Étoiles des dépôts des skills indexés
1,622Forks du dépôt
216Moyenne des étoiles par skill indexé
2Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
Master iOS, Android, React Native, and Flutter development. Build native and cross-platform mobile apps with modern frameworks, handle platform-specific features, optimize performance, and deploy to app stores.
Build and train neural networks with PyTorch - MLPs, CNNs, and training best practices
Discover patterns in unlabeled data using clustering, dimensionality reduction, and anomaly detection
Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
Build production-ready classification and regression models with hyperparameter tuning
Process and analyze text using modern NLP techniques - preprocessing, embeddings, and transformers
Build computer vision solutions - image classification, object detection, and transfer learning
Deploy ML models to production - APIs, containerization, monitoring, and MLOps
Linux system management - packages, services, users
Linux networking fundamentals - configuration, troubleshooting, security
Linux programming languages - installation, configuration, development
Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
Linux shell scripting mastery - Bash, automation, cron jobs
Linux system administration - installation, maintenance, troubleshooting
Linux DevOps tools and practices - CI/CD, automation, infrastructure
Linux specialized topics - kernel, security hardening, performance
Linux development environment - compilers, build tools, IDEs
Linux shell basics - navigation, commands, file operations
Linux system architecture - processes, memory, storage, kernel
Master UIKit - Views, controllers, navigation, Auto Layout, animations
Master iOS development foundations - Architecture, lifecycle, memory, concurrency
Master SwiftUI - Declarative UI, state management, animations, modern iOS development
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.