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Machine Learning

Develop and deploy machine learning models to solve complex business problems, including predictive analytics, natural language processing, and computer vision.

Description

Develop and deploy machine learning models to solve complex business problems, including predictive analytics, natural language processing, and computer vision.

Key Features
  • Data preprocessing and feature engineering
  • Model training, validation, and optimization
  • Deployment of ML models to production
  • Real-time prediction and analysis
  • Automated model monitoring and retraining
Technologies Used
  • Languages: Python
  • Libraries: TensorFlow, Scikit-learn
  • Tools: Jupyter Notebook, MLflow
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