This project aims to demonstrate predictive modeling using machine learning techniques on a dataset.
Datasets: Boston Marathon Dataset
Dataset Link: 2024 Boston Marathon Weather and Splits
Objective: Predict the age of an athlete based on the first and second half marathon splits.
This repository contains the implementation of a predictive model for the Boston Marathon Dataset. The model predicts the age of an athlete based on their first and second half marathon splits.
Contents Jupyter Notebook: Untitled.ipynb
This notebook contains the code for data preprocessing, model training, evaluation, and prediction.
Data: Athletes.csv
The dataset used for training and testing the model.
Clone the repository to your local machine:
Copy code on Git Bash: git clone https://github.com//jahnavithutta129/AIHub-ML.git
Open and run the Jupyter Notebook (Boston_Marathon_Prediction.ipynb) using Jupyter Notebook or JupyterLab.
Follow the instructions within the notebook to execute the code cells for data loading, preprocessing, model training, evaluation, and prediction.
Contribution
Contributions to enhance the model, improve documentation, or add features are welcome via pull requests. For major changes, please open an issue first to discuss the proposed modifications.
Contact For any inquiries or issues regarding the project, please contact:
Email: jahnavithutta129@gmail.com