📚 Cholesterol Forecast

Project Steps

• 📊 Exploratory Data Analysis
• 🛠️ Preparing the training and test data set
• 🤖 Model training
• ✔️ Validating the model
• 🚀 Creating the UI to make the model available for use

The aim of this project is to develop an AI model that informs the probable cholesterol level of a patient, based on information such as weight, height, age and smoking habits, present in the dataset provided. 🩺🔍

Prerequisites

• Python 3.11.7

Getting Started

1. Clone the repository:

   git clone https://github.com/fcursino/cholesterol-forecast.git
   cd cholesterol-forecast/

2. Install pip:

   python -m pip install -U pip

3. Install dependencies:

   pip install -r requirements.txt

4. Run all the cells inside app_gradio_colesterol.ipynb file:

   

5. Access your 'localhost:7861' page on browser: