Multiple Linear Regression - Car Data A Machine Learning implementation of Multiple Linear Regression using Python and Scikit-learn with car data for price prediction.
Technologies Used
- Python
- Scikit-learn
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Google Colab
Dataset Car dataset available through the Seaborn library.
Workflow
- Dataset Loading
- Data Preparation
- Feature Selection
- Data Preprocessing
- Splitting the Dataset
- Model Training
- Price Prediction
- Model Evaluation
Purpose This repository demonstrates Multiple Linear Regression using multiple features from car data to predict car prices and evaluate the performance of the trained model.
Author Rohini Dupade