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.
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.
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.
To interact with the individual projects:
- Navigate to the project folder of interest.
- Open the Jupyter notebook associated with the project.
- Follow the instructions within the notebook to reproduce the analysis or run the code.