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car-price-prediction-app's Introduction

Car price prediction App

Deployment

https://car-price-predict-flask.herokuapp.com/

App

A simple flask web app that predict the prices Of fairly used cars in Nigeria using machine learning.

Data
5500+ datapoints were used to train the model.The data was scraped from 3 sites The categorical values were label encoded and their numerical values were the "value" in their "option" tag.
Model

Sklearn's Gradient boosting regressor with a:


Max depth:6

Max Features:5

Learning rate:0.025

n_estimators:1200

The model gave a mean_absolute_error of โ‰ˆ850 Thousand Naira

Challenges

Data collection: There were different features used to describe the cars in the different sites I got the data from, only about 6 were common among them, the mileage, the car's year of production, the location of the seller of the car, the car's make and the car's model

car-price-prediction-app's People

Contributors

saheedniyi02 avatar

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