Welcome to my Data Science Competitions Portfolio repository! This repository contains my submissions and solutions for various data science and machine learning competitions that I have participated in. Below, you will find an overview of the competitions and links to their respective folders for detailed information and code.
- Description: In this competition, we explore the famous Titanic dataset and build predictive models to determine the survival outcome of passengers.
- Results: The code with 49.4s run code with 0.76555 score.
- Code: Titanic Prediction
- Description: The goal of this competition is to predict CO2 emissions based on various environmental and geographical features.
- Results: The code achieves a score of 28.09473, which places it in the top 24% of submissions.
- Code: CO2 Prediction
If you have any questions or feedback regarding my competition submissions or would like to collaborate on a project, please feel free to contact me:
I would like to express my gratitude to the organizers of the competitions I participated in and the data science community for their valuable insights and contributions.
Thank you for visiting my portfolio!