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predicting-car-prices-using-knn's Introduction

Predicting Car Prices Using KNN

  • This is a Guided project from DataQuest
  • In this project, we'll use machine learning workflow (K Nearest Neighbors) and try to predict a car's market price using its attributes.

Conclusion :-

  • By testing multiple sets of features and hyperparameter optimization I was able to reduce the RMSE to 3020.35, the features used in this run were ['engine-size', 'horsepower', 'highway-mpg', 'city-mpg'] and K neighbors value was set to 9.
  • Please checkout the solution notebook for in depth solutions, visualizations and other models.

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