Data_X_2023

This repository was created for our project within the course Data-X – Applied Data Analytics Models in Real World Tasks (4IT439). This project is conducted using Python language.

Authors: Veronika Vacková, Barbora Dobrovolná, Simona Dohová, Karolína Krutinová

The goal of this project is to evaluate penguin species using machine learning methods. In this project, the Penguin dataset is used: The new Iris, which will be used to create a model that will predict what species the penguin is classified as.

How to Install and Run the Project

Virtual environment

At first, create a new enviroment using version Python Python 3.9.13.

conda create -n yourenv python=3.9.13

Next, activate your virtual environment.

conda activate yourenv

Afterwards, it is essential to install all packages required for this project.

pip install -r requirements.txt

Loading a model

For loading the model of logistic regression use instruction file in Models directory. For this task we used tensorflow.