Course Wiki

Car price prediction project — Machine Learning Zoomcamp Module 2

This project is about the creation of a model for helping users to predict car prices. The dataset was obtained from [this kaggle competition](https://www.kaggle.com/CooperUnion/cardataset).

Machine Learning Zoomcamp › Module 2: Machine Learning for Regression › Car price prediction project

Notes

This project is about the creation of a model for helping users to predict car prices. The dataset was obtained from this kaggle competition.

Project plan:

• Prepare data and Exploratory data analysis (EDA)
• Use linear regression for predicting price
• Understanding the internals of linear regression
• Evaluating the model with RMSE
• Feature engineering
• Regularization
• Using the model

The code and dataset are available at this link.

• Notes from Peter Ernicke

Key concepts

• Regularization
• Linear Regression
• Classification Metrics

Related notes

• mlz-m02-baseline-model-for-car-price-prediction-project
• mlz-m02-car-price-prediction-project-summary
• mlz-m02-categorical-variables
• mlz-m02-computing-rmse-on-validation-data
• mlz-m02-data-preparation
• mlz-m02-exploratory-data-analysis
• mlz-m02-explore-more
• mlz-m02-feature-engineering
• mlz-m02-linear-regression
• mlz-m02-linear-regression-vector-form
• mlz-m02-regularization
• mlz-m02-root-mean-squared-error-rmse
• mlz-m02-setting-up-the-validation-framework
• mlz-m02-training-linear-regression-normal-equation
• mlz-m02-tuning-the-model
• mlz-m02-using-the-model
• mlz-m03-explore-more
• mlz-m03-logistic-regression
• mlz-m04-evaluation-metrics-session-overview
• mlz-m04-explore-more
• mlz-m04-precision-and-recall
• mlz-m04-roc-auc
• mlz-m04-roc-curves
• mlz-m04-summary
• mlz-m06-decision-trees-parameter-tuning
• mlz-m06-selecting-the-best-model
• mlz-m06-xgboost-parameter-tuning
• mlz-m08-fashion-classification
• mlz-m08-regularization-and-dropout

Sources

• Video
• Lesson file