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ML Model Training

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Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks

skills/ml-model-training/SKILL.md

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# ML Model Training

Training machine learning models involves selecting appropriate algorithms, preparing data, and optimizing model parameters to achieve strong predictive performance.

## Training Phases

- **Data Preparation**: Cleaning, encoding, normalization
- **Feature Engineering**: Creating meaningful features
- **Model Selection**: Choosing appropriate algorithms
- **Hyperparameter Tuning**: Optimizing model settings
- **Validation**: Cross-validation and evaluation metrics
- **Deployment**: Preparing models for production

## Common Algorithms
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