PsimonL/AI_Assesment

AI model, using ANN to predict prices of Volkswagen cars, dataset webscrapped from "Otomoto" website.

Volkswagen Car Prices Prediction

Tech stack used:

• Python => 3.10.6
• Jupyter Notebook => 6.4.12
• Tensorflow => 2.11.0
• Keras =>
• BeautifulSoup => 4.12.1
• Numpy => 1.23.2
• Seaborn => 0.12.1
• Matplotlib => 3.5.3
• Pandas => 1.4.4
• StatsModel => 0.13.2

To download, open Pycharm and use Python manager called pip:

pip install <PACKAGE_NAME> 

Optional you could use below command to get specific version:

pip install <PACKAGE_NAME>==<VERSION_NUMBER>

Description of data set:

Python scripts developed to perform analysis on Volkswagen car prices. The data was scrapped from the popular Polish website OtoMoto (https://www.otomoto.pl/) using Beautiful Soup Python library. Whole project is going to be based on Recurrent Neural Networks (casual RNN).

Project description:

Whole project description could be found in folder: "project_report(in_Polish)".
But as name can suggest it is written in Polish. Basically it's a report which was created as a part of AI classes at university.
In short, title translation of each subpoint: "

1. Description of the problem and data
2. Data preprocessing
3. Description of the applied neural networks
4. Discussion of results and conclusions "

Useful diagram for ANN different types:

TODO:

Maybe in the future there will be finished "hyperparameters tunning", no time to fix it now - doesn't work properly.
Literature describing the concept of hyperparameters tunning:

• https://www.analyticsvidhya.com/blog/2022/02/a-comprehensive-guide-on-hyperparameter-tuning-and-its-techniques/
• https://towardsdatascience.com/hyperparameter-tuning-in-python-21a76794a1f7
• https://scikit-learn.org/stable/modules/grid_search.html

Project authors:

• [Szymon Rogowski] (https://github.com/PsimonL)
• [Piotr Sobol] (https://github.com/Pyother)

University

AGH University of Science and Technology in Kraków, Poland
Industrial Computer Science, Computational Engineering students at WIMIIP faculty, 6th term - Bachelor's degree in Engineering (Technical Informatics and Telecommunications).