Recipe Prediction for High Traffic

Face Generation Example

Overview

This project focuses on predicting the best recipes based on customer food demand to optimize the selection of recipes to be displayed on a website's main page. By analyzing historical data, the goal is to enhance user engagement and drive traffic through well-informed recipe recommendations.

Recipe Pairplot
Key Features
  • Data Processing and Analysis
  • Model Selection and Building
  • Model Experimentation and Hyperparameter Tuning: Logistic Regression, Support Vector Machine Classifier, K-Nearest Neighbors, Ridge Classifier, Simple Multi-Layer Perceptron
  • Predictions and Business Insights

Project Information

  • Category: Machine Learning
  • Client: Self-initiated
  • Project Date: May 2024
  • GitHub Repository: Access the project on GitHub: GitHub Repository