/

Census Web API

Django REST API / Machine Learning / Docker

Project

Overview

Developed a robust Django REST Framework API for income classification using the Adult Income dataset to predict income exceeds \$50K/year.

In this project we are going to use Django to create a web application that will use machine learning to predict the price of a house based on the features of the house. This project is a simple Django project that uses DRF to create an API for a ML model. The model is trained on the Adult Income data set and predicts whether income exceeds $50K/year based on census data, leveraging Django ORM for efficient database operations.

  • Implemented a machine learning model using scikit-learn and pandas to predict income classification.
  • Created a Django REST Framework API to serve the model using Django ORM for efficient database operations.
  • Utilized Django REST Framework to create API endpoints for the model and implemented token-based authentication for user access.

Technologies

Django REST API

Machine Learning

Docker

Random Forest

Extra Trees

Routes

Back