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Predicting Car Prices

In this mini-project, we will be working with dataset on various cars. It contains information/technical aspects of the vehicle such as the motor's displacement, the weight of the car, the miles per gallon, how fast the car accelerates, and more.

We will predict a car's market price using its attributes and cover concepts like K-Nearest Neighbors, Feature Engineering, Hyperparameter Tuning, RMSE, Cross Validation.

Github Repo | Notebook Preview (nbviewer)

Following Packages and Concepts are explored:

  • Pandas - DataFrame (Consolidating Data)
  • Matplotlib - Visualisation
  • Scikit-Learn - Modelling and Prediction

RMSE Scores

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