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Hybrid-Car-Prediction-Model
GitHubRepository

Hybrid-Car-Prediction-Model

Production-ready Machine Learning system & interactive dashboard predicting hybrid vehicle purchases using Scikit-Learn, Streamlit & Plotly. Features real-time inference, econometric odds ratios, and zero-dependency GitHub Pages deployment.

  • 1 stars
  • 0 forks
  • Jupyter Notebook language
View on GitHub
Published
8 Sept 2026

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 Interactive Demo Instant Browser Access — No Installation Required! The dashboard is deployed via GitHub Pages using index.html. It contains the complete interactive dashboard, 10 Plotly visualizations, and a real-time client-side machine learning inference engine. 🚀 Launch Live Dashboard (GitHub Pages) Figure 1: Executive Overview...

Skills

  • Jupyter Notebook
  • HTML
  • Python
  • automotive-analytics
  • binary-classification
  • customer-propensity
  • data-science
  • data-visualization
  • eda
  • feature-importance
  • github-pages
  • interactive-dashboard

More work by Akshat Raghav