This repository contains IPython notebooks for various deep learning projects on Kaggle.
In this repository, you will find a collection of IPython notebooks that demonstrate the implementation of deep learning models for various Kaggle competitions and datasets. Each notebook is self-contained and provides detailed explanations along with code snippets.
Here are some of the projects included in this repository:
- Project 1: Project Name
- Project 2: Project Name
- Project 3: Project Name
Feel free to explore the projects and use the code as a reference for your own deep learning projects.
Note that the data folder is missing, if you want to run the notebooks you will need to download the data from the Kaggle competition page and place it a data folder.
To get started with these projects, follow these steps:
- Clone this repository:
git clone https://github.com/your-username/kaggle-deep-learning-projects.git - Install the required dependencies:
pip install -r requirements.txt - Open the desired IPython notebook in Jupyter Notebook or JupyterLab.
- Follow the instructions provided in the notebook to run the code and experiment with different models.
Contributions to this repository are welcome! If you have implemented a deep learning model for a Kaggle competition or dataset and would like to share it with others, feel free to submit a pull request. Please make sure to follow the existing code style and include detailed explanations in your notebook.
This repository is licensed under the MIT License.