{"id":15131112,"url":"https://github.com/shubhamsoni98/classification-with-decision-tree","last_synced_at":"2026-01-19T18:02:59.385Z","repository":{"id":257547558,"uuid":"858606838","full_name":"shubhamsoni98/Classification-with-Decision-Tree","owner":"shubhamsoni98","description":"This project predicts iPhone purchases using demographic data (gender, age, salary). A Decision Tree Classifier was used, achieving 88.16% accuracy. 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A Decision Tree Classifier was used, achieving 88.16% accuracy. Insights from the model can refine marketing strategies, optimize product offerings, and boost sales by targeting key customer segments.\n\n# iPhone Purchase Status Prediction\n\n## Overview\n\nThis project aims to predict whether a customer will purchase an iPhone based on demographic factors such as gender, age, and salary. By applying a Decision Tree Classifier, the project provides actionable insights into customer behavior, enabling businesses to optimize marketing and sales strategies.\n\n## Objectives\n\n- **Predict iPhone Purchases**: Determine the likelihood of a customer purchasing an iPhone using demographic data.\n- **Understand Influencing Factors**: Analyze how gender, age, and salary affect purchase decisions.\n- **Enhance Marketing Strategies**: Utilize insights to target marketing efforts and refine product offerings.\n\n## Solution\n\n### Data Collection\n\n- **Dataset**: `iphone_purchase_records.csv`\n  - **Columns**: `Gender`, `Age`, `Salary`, `Purchase Iphone`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubhamsoni98%2Fclassification-with-decision-tree","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshubhamsoni98%2Fclassification-with-decision-tree","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubhamsoni98%2Fclassification-with-decision-tree/lists"}