/Business-License-Classifier-h2O-Flask-Gunicorn

DNN based business license classifier using h2O base model and Flask deployment.

Primary LanguageJupyter NotebookMIT LicenseMIT

Business license clasifier using h20 and Flask deployment

Objective

The aim of this project is implementation deep neural network based classifier for business license with h2O base model and Flask, Gunicorn deployment.

Data Description

The dataset used is a licensed dataset containing information about 86,000 different businesses, with various features. The target variable is the status of the license, which has five different categories.

Tech Stack

  • Language: Python
  • Libraries: pandas, seaborn, numpy, matplotlib, scikit-learn, h2o, TensorFlow

Approach

  1. Data Description
  2. Exploratory Data Analysis
  3. Data Cleaning
  4. Preparing data for analysis
  5. Base model building using h2o
  6. Building deep neural network model
  7. Predictions on test data
  8. Model deployment using Flask and Gunicorn

Getting Started

To run this project, follow these steps:

  1. Install the required libraries listed in requirements.txt.
  2. Execute the code in the src folder for each project phase.