Kridsakorn Tapornpad

2024/8/15

Introduction

Hello , My name is Kridsakorn Tapronpad . This is project about prediction of automobile car price by python language and use 5 library for analyze this project such as Pandas , Numpy for manipulate data. Seaborn and Matplotlib for Visualization data and sklearn for import machine learning model. I use model linear regression for predict car price.

This dataset in project , I found in www.kaggle.com

About dataset

Context

This dataset consist of data From 1985 Ward's Automotive Yearbook. Here are the sources

Sources:

  1. 1985 Model Import Car and Truck Specifications, 1985 Ward's Automotive Yearbook.

  2. Personal Auto Manuals, Insurance Services Office, 160 Water Street, New York, NY 10038

  3. Insurance Collision Report, Insurance Institute for Highway Safety, Watergate 600, Washington, DC 20037

Preview data

At first, I import 4 library for analyze dataset such as Pandas , Numpy for import dataset and manipulate dataset Matplotlib , Seaborn for data visualization .

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