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This repository is part of my work regarding the module Data Science at CODE University

Jupyter Notebook 89.26% Python 10.74%

data_science's Introduction

Data Science

This project was developed as part of the Data Science Learning Unit at CODE University in Spring 2023. It is structured the following way:

  • Learning_Unit: This folder contains all in-class work,
  • Mini_Project: This folder contains all mini projects that can be found here
  • Pandas_Go_To_Space: This folder contains notes and exercises from the reading material

Prerequisites

Before you begin, make sure that you have the following tools installed on your machine:

Run Locally

Clone the project

  git clone https://github.com/RichardKruemmel/data_science.git

Go to the project directory

  cd data_science

Create a virtual environment and activate it

  python -m venv venv
  source venv/bin/activate

Install dependencies

  pip install -r requirements.txt

Execute file

  python <path>/<filename>.py

To deactivate the virtual environment, run the following command

  deactivate

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