- Proficiency in basic ML models and concepts.
- Experience in training models on large datasets.
- Solid foundation in ML and statistics.
- Familiarity with standard ML Python packages (e.g., scikit-learn, Keras, TensorFlow).
- Expertise in regression and classification techniques.
- Experience with hyperparameter tuning and model optimization.
- Strong data science background.
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