Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neural Networks" https://arxiv.org/abs/1506.01186 for PyTorch framework

Deep Neural Network built from scratch to tackle ML binary classification predicting Titanic survival (Kaggle Competition). Best DNN AdamW 77.03% and best RF 78.95%.

Implementing and fine-tuning BERT for sentiment analysis, paraphrase detection, and semantic textual similarity tasks. Includes code, data, and detailed results.