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It's Your Data, Master It.
Model Training and Evaluation with Liminal
Overview
Skills Needed
Learn to train and evaluate models with Liminal. Explore algorithm selection, hyperparameter tuning, and model validation techniques with Liminal.
Intermediate knowledge of Liminal fundamentals
Familiarity with model training concepts
Outline
Introduction to Model Training and Evaluation
Algorithm Selection for ML Models
Hyperparameter Tuning Strategies
Cross-validation Techniques
Model Interpretability and Explainability
Ensemble Learning Methods
Transfer Learning Approaches
Reinforcement Learning Fundamentals
Model Optimization Techniques
Best Practices for Model Training and Evaluation with Liminal
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