Kaggle Repository

Welcome to my Kaggle repository!

🚀 This repository contains all my working tasks, notebooks, and projects from the Kaggle website. It serves as a central hub for my data science, machine learning, and analytics work.

📂 Repository Structure

📁 kaggle-repo/

│-- 📂 Notebooks/ # Jupyter notebooks for various Kaggle competitions & datasets

│-- 📂 Datasets/ # Custom datasets used for experiments

│-- 📂 Models/ # Trained models and saved weights

│-- 📂 Scripts/ # Python scripts for data preprocessing & model training

│-- 📜 README.md # Repository overview

│-- 📜 requirements.txt # Dependencies required for running notebooks

 🏆 Kaggle Profile

You can check out my Kaggle profile and explore my public notebooks and discussions:
[Kaggle Profile](https://www.kaggle.com/code/ravikumarsonis)

🚀 Getting Started

To run the notebooks locally, follow these steps:

1. Clone the repository:
   ```bash
   git clone https://github.com/your-username/kaggle-repo.git
   cd kaggle-repo

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Run Jupyter Notebook:

   jupyter notebook

📊 Featured Projects

• [Project 1: Dataset Analysis]** - Exploratory Data Analysis (EDA) and visualizations.
• [Project 2: ML Model Training]** - Implementing machine learning models for classification/regression.
• [Project 3: Deep Learning Experiments]** - Using TensorFlow/PyTorch for deep learning models.

📌 Contributions & Issues

If you have any suggestions or find any issues, feel free to open an issue or a pull request.

📜 License

This repository is open-source and available under the MIT License.

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📧 Contact: Reach me on LinkedIn or visit my portfolio.