College Acceptance Prediction AI

This repository contains a collection of scripts and resources related to predicting college acceptance using machine learning techniques. The project explores the use of TensorFlow for linear regression and other foundational steps in building a predictive AI model.

Folder and File Descriptions

1. tensor (College acceptance prediction AI)

• This folder contains the main scripts and resources for the College Acceptance Prediction AI project. Details of the implementation and results are located here.

2. Start.txt

• A plain text file outlining the initial steps or notes for the project.

3. tensor(first_step).py

• A Python script representing the first phase of the project. It likely includes basic setup, initial data preprocessing, and foundational model training steps.

4. tensor(linear regression-footsize).py

• This script focuses on implementing a linear regression model using TensorFlow. The model might be related to predicting outcomes (e.g., acceptance chances) based on features like "footsize" or similar datasets.

How to Use

1. Clone the repository:

   git clone https://github.com/Thevenin1883/College-Acceptance-AI.git