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Final project of the Predictive Analysis course. Deployed Python web application on Microsoft Azure Cloud; Developed the linear and logistic regression with adaptive learning.

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RanArino/BDM500_Project

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Web App for Predictive Analysis Project

Overview

Welcome to the GitHub repository of my Python app for the Predictive Analysis Project. This application serves as a professional portfolio for showcasing predictive analysis project at Seneca Polytechnic. It's built using Python and Dash, focusing on user experience and visual appeal.

Features

  • Advanced Predictive Analysis: Showcasing various predictive models and their insights.
  • Interactive Visualizations: Utilizing Dash and Python for dynamic data presentation.
  • Responsive Layout: Ensuring a seamless experience across different devices.

Demo Video

To see the web app in action, watch our demo video:

Video_BDM500_Project_Short.mp4

Getting Started

Prerequisites

  • Python 3.11
  • Dash
  • Other dependencies listed in requirements.txt

Installation

  1. Clone the repo:
    git clone https://github.com/RanArino/BDM500_Project.git
  2. Install the required packages:
    pip install -r requirements.txt

Running the Application

Execute the following command in the project directory:

python app.py

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

Ran Arino - LinkedIn - rarino@myseneca.ca Project Link: https://github.com/RanArino/BDM500_Project

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Final project of the Predictive Analysis course. Deployed Python web application on Microsoft Azure Cloud; Developed the linear and logistic regression with adaptive learning.

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