bugeki / AutoScoutDeployment

AutoScoutDeployment

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AutoScoutDeployment

AutoScoutDeployment

Introduction

Auto Scout data contains many features of 9 different car models.

The source of the dataset

Auto Scout data used in this project, scraped from the on-line car trading company in 2019, contains many features of 9 different car models.

Models Used

In this project, Python libraries such as Numpy, Pandas, Matplotlib, Seaborn, Scipy used for Data Cleaning and Exploratory Data Analysis.

Lasso regression is used.

The app is deployed through Streamlit.

About

AutoScoutDeployment


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Language:Jupyter Notebook 95.0%Language:Python 5.0%