40%

Complete your profile to find better job opportunities

hybrid-vehicle-purchase-prediction
GitHubRepository

hybrid-vehicle-purchase-prediction

Machine Learning web app that predicts hybrid vehicle purchase intent using Logistic Regression based on customer age, education, income, and vehicle ownership.

  • 1 stars
  • 0 forks
  • HTML language
View on GitHubLive site
Published
9 Aug 2026
Updated
8 Sept 2026
AI summary

A machine learning web application predicts hybrid vehicle purchase intent using Logistic Regression based on customer age, education, income, and vehicle ownership. The platform includes a live demo for user input and prediction results.

From the README

🚗 Hybrid Vehicle Purchase Prediction Platform Enterprise Machine Learning & Automotive Customer Propensity Analytics A production-grade machine learning platform that predicts consumer propensity to purchase hybrid electric vehicles, refactored from a flawed OLS linear regression into a calibrated, validated supervised classification pipeline. --- 🚀 Live Demo Try the working web application: 👉 Hybrid Vehicle Purchase Prediction – Live Demo Enter customer details such as Age, Education, Income and Vehicle Ownership to receive a hybrid vehicle purchase prediction. A Machine Learning web application that predicts whether a customer is likely to purchase a hybrid vehicle using...

Skills

  • HTML
  • Jupyter Notebook
  • customer-segmentation
  • data-science
  • fastapi
  • html
  • logistic-regression
  • machine-learning
  • predictive-analytics
  • python

More work by Akshat Raghav