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https://github.com/1ayanabil1/kaggle-competition
An overview of the competitions and links to their respective folders for detailed information and code
https://github.com/1ayanabil1/kaggle-competition
kaggle kaggle-competition kaggle-dataset kaggle-house-prices kaggle-solution kaggle-titanic machine-learning machine-learning-algorithms machinelearning python python-lambda python-script python3 pytorch scikit-learn tensorflow
Last synced: 1 day ago
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An overview of the competitions and links to their respective folders for detailed information and code
- Host: GitHub
- URL: https://github.com/1ayanabil1/kaggle-competition
- Owner: 1AyaNabil1
- License: mit
- Created: 2023-09-09T09:45:17.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-04T16:39:06.000Z (4 days ago)
- Last Synced: 2025-01-04T17:29:40.637Z (4 days ago)
- Topics: kaggle, kaggle-competition, kaggle-dataset, kaggle-house-prices, kaggle-solution, kaggle-titanic, machine-learning, machine-learning-algorithms, machinelearning, python, python-lambda, python-script, python3, pytorch, scikit-learn, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 3.9 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Data Science Competitions Portfolio
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.
## Competitions
### [Competition 1: Titanic - Machine Learning from Disaster](https://www.kaggle.com/competitions/titanic)
* **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](https://github.com/1AyaNabil1/Kaggle-Competition/tree/main/Titanic%20Competition)### [Competition 2: Predict CO2 Emissions in Rwanda](https://www.kaggle.com/competitions/playground-series-s3e20/leaderboard?tab=public)
* **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](https://github.com/1AyaNabil1/Kaggle-Competition/tree/main/CO2%20Emmision)## Contact
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:
Connect with me:
## Acknowledgments
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!