Car Price Prediction

Car Price Prediction using Machine Learning Algorithms

Description

This is an algorithm that will predict the price of a car using some parameters. These are some parameters such as fuel type, door number, wheel base, engine location, car length, width, height, etc. from which the algorithm predicts the price.

Directory Structure

├── Car Price Prediction
│   ├── Decision Tree                           # Prediction of Car Price using Decision Tree
|   |   ├── car price prediction.ipynb       
│   ├── Multiple Linear                         # Prediction of Car Price using Multiple Linear
|   |   ├── car price prediction.ipynb
│   ├── Random Forest                           # Prediction of Car Price using Random Forest
|   |   ├── car price prediction.ipynb
│   └── Car Price Dataset                       # Dataset for Prediction

Accuracy

I have created this project in different algorithms which are decision tree, multiple linear variable and random forest. Among this, the accuracy of the project varies according to the algorithm.

• Random Forest : 90.3991 %
• Decision Tree : 87.7502 %
• Multiple Linear Variable : 78.3838 %