/used-car-auction-prices

A final project of Data Science Bootcamp Batch 20 in Rakamin Academy.

Primary LanguageJupyter Notebook

🚗Used Car Auction Prices Machine Learning Model

🔰Introduction

A final project of Data Science Bootcamp Batch 20 in Rakamin Academy. In this project, as a Data Scientist from used car dealer company in United States has responsibility to give recommendation to face the current problem through machine learning.

ℹ️Dataset

This dataset obtained from Kaggle Used Car Auction Prices. Dataset using historical data of sold used car in United States moreless 2 years before.

📓Problem Statement

  1. The time needed to predict the prices of a used car is less effective and efficient,
  2. Customers of used cars have not yet received a value-for-money guarantee.

🥅Goal

Increase the accuracy of the value and speed of time in determining the prices of a used car so that it can improve car sales performance.

🏹Objective

Build machine learning model to predict used car

📌Business Metrics

  • Appraisal Time
  • Sales Revenue

👣Stage

In this project, we divide into 4 stages:

  1. Stage 1 - Preparation: We learn about the project and dataset that has been choosen. The key-takeaways in this stage is who we are in this project, the problem statement, goal and objective that we want to achieve and the last is business metrics.
  2. Stage 2 - EDA: We start to reach the dataset to gain the characteristic from the data. We separate the process into 3 steps, start from exploration data, EDA, and gather insight about the dataset related to the main problem and goals.
  3. Stage 3 - Preprocessing: We handle the data become the cleanest data before start the modelling process. We cleansing some missing values, duplicate data, outliers and determine the feature engineering we choose.
  4. Stage 4 - Supervised Learning: We enter the modelling process and explore several algorithm to enhance based on feature and target that we been choosed.

🗣️Team

We called the project name as Car-A-Thon. Team behind this project for final project of Data Science Bootcamp Batch 20 Rakamin Academy:

Member LinkedIn
Stephanie (as Mentor) https://www.linkedin.com/in/stephanie-stephanie
Bagus Ganjar Lugina (as Project Leader) https://www.linkedin.com/in/bagusganjar
Rifqi Sarosa https://www.linkedin.com/in/rifqisarosa
Raihan Kurniasugianto http://www.linkedin.com/in/raihanks
Samuella Evangeline https://www.linkedin.com/in/samuella-evangeline
Bernadetha Stella https://www.linkedin.com/in/bernadetha-stella-bartholomeus-57543016a