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: 4 months 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 (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-22T21:08:32.000Z (4 months ago)
- Last Synced: 2025-02-22T21:28:56.258Z (4 months 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
# 🏆 Kaggle 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.
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## 📌 Competitions
### 🚢 [Titanic - Machine Learning from Disaster](https://www.kaggle.com/competitions/titanic)
* **Description:** Predict passenger survival on the Titanic using machine learning.
* **Results:** Achieved a **0.76555 score**.
* **Code:** [Titanic Prediction](https://github.com/1AyaNabil1/Kaggle-Competition/tree/main/Titanic%20Competition)
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### 🌍 [Predict CO2 Emissions in Rwanda](https://www.kaggle.com/competitions/playground-series-s3e20)
* **Description:** Predict CO2 emissions based on environmental and geographical features.
* **Results:** Achieved a **28.09473 score**, ranking in the **top 24%**.
* **Code:** [CO2 Prediction](https://github.com/1AyaNabil1/Kaggle-Competition/tree/main/CO2%20Emmision)
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### 🔢 [Digit Recognizer - MNIST Classification](https://www.kaggle.com/competitions/digit-recognizer)
* **Description:** Classify hand-written digits from the MNIST dataset using deep learning techniques.
* **Results:** Achieved **0.82653 Score** using CNN models built mathematically from scratch without using any built-in functions.
* **Code:** [Digit Recognizer](https://github.com/1AyaNabil1/Kaggle-Competition/tree/main/Digit%20Recognizer)
---
## 📬 Contact
If you have any questions, feedback, or want to collaborate, feel free to connect with me! 😊
### 🔗 Connect with me:
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## 🎉 Acknowledgments
A big thank you to the Kaggle community and competition organizers for providing exciting challenges and learning opportunities! 💡
📢 Stay tuned for more projects and updates! 🚀