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Used car selling price prediction using Linear, Ridge, Lasso, Random Forest, Gradient Boosting, and XGBoost regression. Best model: Gradient Boosting at R²=0.970. Includes depreciation analysis, feature engineering, brand encoding, and 16 embedded visualisations. CodeAlpha Data Science Internship — Task 3.

  • Updated May 22, 2026
  • Jupyter Notebook

TASK 1: Basic Network Sniffer ● Build a Python program to capture network traffic packets. ● Analyze captured packets to understand their structure and content. ● Learn how data flows through the network and the basics of protocols. ● Use libraries like `scapy` or `socket` for packet capturing. ● Display useful information such as src/dest.

  • Updated Sep 4, 2025

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