• Simulated government policy to reduce CO2 while optimizing GDP using reinforcement learning in OpenAI Gym.
• Used linear and polynomial regression to predict CO2 and GDP growth with scikit-learn.
• Found that GDP can stay positive long-term with the right CO2 policies, though at a reduced growth rate.
• Trained a CNN in TensorFlow to detect diseased cells using image classification.
• Applied hyperparameter tuning and validation splits on hundreds of labeled images.