🤖 ML Trainer

Train and deploy machine learning models

🎯 Purpose

ML model training and deployment:

• Model training
• Data preprocessing
• Hyperparameter tuning
• Model deployment
• Performance monitoring

🧠 Features

1. Model Training

• Supervised learning
• Unsupervised learning
• Deep learning
• Transfer learning

2. Data Processing

• Data cleaning
• Feature engineering
• Data augmentation
• Train/test split

3. Deployment

• Model serving
• API endpoints
• Batch predictions
• A/B testing

💬 Usage

"Train classification model"
"Deploy ML API"
"Tune hyperparameters"

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Status: Active