Regression Project Applying supervised learning to solve a regression problem based.
In this repo we look at applying a variety of SupervisedLearning models to predict car-price.
(This is a specific implementation of the general model comparison: https://github.com/Tawfiqh/ML-Model-Comparison)
I used this dataset from Kaggle for car prices: https://www.kaggle.com/CooperUnion/cardataset (save it in the root directory as "car_data.csv")
If using pyenv install with
$ pip3 install -r requirements.txt
Run the project by running:
$ python3 main.py
The following models were run on the dataset: - K-Nearest-Neighbours - Linear Regression - Decision Tree - Random Forest - SVR