CS5228-Project

This is the code of Group Kimberley for CS5228 Data Mining Project.

Setup

To run our code, please make sure the package of Juypter, Sklearn, Keras, Tensorflow, Pandas, Matplotlib, Seaborn, Numpy are installed in your working environment.

Instruction

Task 1 - Prediction of Car Resale Prices

You can run the EDA_task1.ipynb to run the EDA adn get the traning and test data for task 1.

You can run the project-task1-notebook.ipynb to train the data mining models for task 1.

Task 2 - Car Recommendation

You can run the EDA_task2.ipynb to run the EDA adn get the preprocessed data for task 2.

You can run the project-task2-notebook-track1.ipynb to perform the data mining algorithm for task2-track1 (Using Pairwise Item-Item Similarity).

You can run the project-task2-notebook-track2.ipynb to perform the data mining algorithm for task2-track2 (Using User-Item Similarity).

Task 3 - Prediction of Actual Depreciation Rate of Used Car

You can run the EDA_task3.ipynb to run the EDA adn get the traning and test data for task 3.

You can run the project-task3-notebook.ipynb to train the data mining models for task 3.

Evaluation

You can run the evaluation.ipynb to check the result of evaluation for the models in task 1 and 3.