training-testing univariate and multivariate KNN to predict car prices
Jupyter Notebook 100.00%
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.