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.
Following Packages and Concepts are explored:
- Pandas - DataFrame (Consolidating Data)
- Matplotlib - Visualisation
- Scikit-Learn - Modelling and Prediction