https://github.com/shivambasak/kaggle_competition

https://github.com/shivambasak/kaggle_competition

Last synced: about 5 hours ago
JSON representation

• Host: GitHub
• URL: https://github.com/shivambasak/kaggle_competition
• Owner: shivamBasak
• Created: 2024-03-10T05:24:30.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-03-14T16:24:43.000Z (8 months ago)
• Last Synced: 2024-03-14T18:00:55.203Z (8 months ago)
• Language: Jupyter Notebook
• Size: 972 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# kaggle_competition

My Profile

https://www.kaggle.com/shivambasak 




Repository Name: kaggle_competition

Description:

Welcome to my kaggle_competition repository, a streamlined codebase for tackling the Kaggle competitions . This repository contains  Jupyter notebook, of every competition I participated, which encapsulates the entire data science pipeline, from exploratory data analysis to model training and evaluation.This repository and the accompanying Jupyter notebook, kaggle_contest -`.ipynb`, were created for learning purposes, providing a hands-on experience in data science and machine learning through participation in the Kaggle competitions 

### Contents:

1. **Notebooks:**

   - `.ipynb`: Comprehensive Jupyter notebook containing code for exploratory data analysis, feature engineering, model training, evaluation, and submission preparation.

### How to Use:

1. Clone the repository: `git clone https://github.com/shivamBasak/kaggle_competition.git`

2. Open and run the Jupyter notebook (`.ipynb`) using your preferred environment.

3. Follow the notebook's sections for a step-by-step guide through the data science pipeline.

4. Ensure you have downloaded the dataset separately from the Kaggle competition page and place it in the appropriate directory before running the notebook.

Feel free to contribute, report issues, or suggest improvements related to the code within the notebook. Best of luck in the Kaggle Contests, and may your code lead you to success!