https://github.com/rajarohan/2203a52126_capston_project-2-

https://github.com/rajarohan/2203a52126_capston_project-2-

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/rajarohan/2203a52126_capston_project-2-
• Owner: rajarohan
• Created: 2023-10-19T04:40:25.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-12-24T04:22:41.000Z (over 1 year ago)
• Last Synced: 2025-09-06T18:47:15.968Z (10 months ago)
• Language: Jupyter Notebook
• Size: 749 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 2203A52126_CAPSTON_PROJECT-2-

# Machine Learning Model Comparison with Uncertainty Analysis

This repository contains Python code for training and comparing different machine learning models on a dataset. The code performs the following tasks:

- Loads a dataset containing cellphone price information.

- Handles missing values by filling them with the mean of the respective columns.

- Splits the dataset into training and testing sets using a train-test split.

- Applies data scaling and Principal Component Analysis (PCA) for dimensionality reduction.

- Trains and evaluates five different regression models:

  1. Linear Regression

  2. Ridge Regression

  3. Lasso Regression

  4. Support Vector Regression (SVR)

  5. K-Nearest Neighbors (KNN) Regression

The code also performs bootstrapping to assess the uncertainty of model predictions.