data-related-meditations

A small repository to gain skills and expertise that are aligned with the data scientist roadmaps.

Structure

.
├── pandas_simple_exercises/
├── ml-practices/
├── ml-simple-exercises/
└── Finance Data Project.ipynb 

Currently, this repository contains simple data processing exercises, ml practices, and a finance data project for data processing and visualisation.

Prerequisites

Feel free to use any IDE of your choice.

For users without experience, one of the popular methods for data science is using JupyterNotebook via Anaconda environment.

To set up the Anaconda environment, please follow below steps:

• Download Anaconda for your operating system

• Clone this repository to your local machine using 'git clone https://github.com/atilayyuri/data-related-meditations.git'

• To create the same environment this project uses, use the terminal or an Anaconda Prompt (make sure that you are still in local project repository) and type in conda env create -f environment.yml. In case this is not working please refer to Anaconda document

• Activate the environment using conda activate data-related-meditations

• You can use the command jupyter notebook to browse through directories and check the .ipynb files