Titanic Survival Prediction

My first project

This is my first Machine Learning Project. The project employs a variety of machine learning models, including Random Forests, Gradient Boosted Trees, and Neural Networks, to predict survival. Techniques for data cleaning, feature engineering, and model tuning are thoroughly documented in the Jupyter notebooks.

Titanic
Feel free to navigate to the other web pages above to look at the different parts of the project. And also feel free to go to the github page for a more in-depth view of my project.

My High Score

I achieved a high score of 80.622 in this project and top 587 out of 67,149 Entries (top 0.8%) and counting. Here's a snapshot of my score:

High Score

Kaggle Competition

This project was part of a Kaggle competition. You can learn more about the competition and see other submissions on the Kaggle website.

Go to Kaggle Competition