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ML Model Enhancement for Fake News Detection

I'm seeking an experienced Python and Machine Learning developer to improve the accuracy of a fake news prediction project. Key Tasks: - Implement data augmentation techniques to enhance model accuracy. - Apply dimensionality reduction for feature engineering. Ideal Skills: - Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). - Experience with data augmentation and dimensionality reduction techniques. - Strong background in improving model accuracy. Please provide examples of similar work done and your approach to this project.