Amazon-ML-Hackathon-2023

This repository contains the Jupyter notebook and documentation for the ML model developed by the owner for the Amazon ML Hackathon 2023. The notebook includes the code for data cleaning, preprocessing, and model training steps. The owner achieved a score of 42 and a rank of 72 out of 5000+ participating teams.

Introduction

The Amazon ML Hackathon is an annual event where participants compete to develop innovative machine learning models to solve real-world problems. This repository showcases the ML model created by the owner for the hackathon. The model was developed using TensorFlow and achieved impressive results.

Repository Structure

The repository is organized as follows:

├── Amazon_ML_Hackathon_2023.ipynb
├── README.md

• Amazon_ML_Hackathon_2023.ipynb: Jupyter notebook containing the code and documentation for data cleaning, preprocessing, and model training.
• README.md: This file, providing an overview and instructions for the repository.

Usage

To use the ML model and reproduce the results:

1. Clone the repository to your local machine:

git clone https://github.com/shivang2607/Amazon-ML-Hackathon-2023.git

you can download the dataset from here -> https://www.kaggle.com/datasets/saikiran00/amazon-ml-challenge-2023

2. Open the Amazon_ML_Hackathon_2023.ipynb notebook using Jupyter Notebook or JupyterLab.
3. Follow the instructions and execute the code cells in the notebook to perform data cleaning, preprocessing, and model training.