Titanic Survival Predictor

The Titanic Survival Predictor project is a testament to my expertise in machine learning and data analysis. Utilizing Python, PyTorch, Pandas, and NumPy, I crafted a series of machine learning models, ranging from basic linear models to a sophisticated deep learning network. The focal point of this project was the Kaggle Titanic dataset, comprising over 800 entries. My meticulous feature engineering, along with iterative fine-tuning, yielded impressive results, with the final deep learning model achieving an 83% accuracy rate and a minimal loss of 0.193. This project serves as a clear demonstration of my ability to tackle complex challenges, apply advanced machine learning techniques, and derive valuable insights from data. It underscores my unwavering commitment to excellence in data-driven endeavors and my dedication to continuous learning in the field of machine learning and data analysis.