12-week ML research & engineering. Deep learning research, novel architectures, CUDA programming, and paper implementation.
Student builds a classifier to predict Iris species which demonstrates fundamental machine learning skills with Python and Scikit-Learn.
Student builds a sentiment analyzer to classify movie reviews as positive or negative, proving understanding of PyTorch and text processing.
Student builds a CNN model to recognize handwritten digits, demonstrating proficiency in building and training neural networks with PyTorch.
Student builds a predictor to forecast customer churn which demonstrates ability to use ensemble methods and hyperparameter tuning with WandB.
Student builds a model to predict future stock prices based on historical data, proving understanding of recurrent neural networks and time series analysis.
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