Welcome to the Data Science Playground! 🦾

This repository serves as a showcase of various data science projects, exploratory and statistical data analysis, data visualizations, machine learning model development, optimization, and evaluation.

Table of Contents 📋

• Introduction
• Folder Structure
• Usage

Introduction 🤖

In this repository, you'll find a collection of Jupyter notebooks, some containing SQL and Python code for a range of data science projects. These projects cover a wide array of topics and techniques within the field of data science.

Folder Structure 🗃️

The repository is organized as follows:

🤖 DataSciencePlayground 🦾
┣━━ 📦 Project_1
┃   ┣━━ assets                  # Additional files used in Project_1
┃   ┣━━ datasets                # Dataset(s) used in Project_1
┃   ┣━━ notebook                # Jupyter notebook for Project_1
┃   ┣━━ presentation            # Jupyter presentation for Project_1
┃   ┗━━ README.md               # Detailed README for Project_1
┣━━ 📦 Project_2
┃   ┣━━ assets                  # Additional files used in Project_2
┃   ┣━━ datasets                # Dataset(s) used in Project_2
┃   ┣━━ notebook                # Jupyter notebook for Project_2
┃   ┣━━ presentation            # Jupyter presentation for Project_2
┃   ┗━━ README.md               # Detailed README for Project_2
┣━━ ...
┗━━ 📄 README.md                # Main repository README (this file)

📝 The contents of the individual subdirectories vary depending on the projects' requirements.

Usage 🚀

To interact with the individual projects:

1. Navigate to the project folder of interest.
2. Open the Jupyter notebook associated with the project.
3. Follow the instructions within the notebook to reproduce the analysis or run the code.