๐ My Data Science Workspace
A personal GitHub repository to organize and showcase my data science projects, experiments, and learning notebooks โ built primarily with Python tools such as NumPy, pandas, and visualization libraries.
This workspace contains my explorations, practice projects, and utilities related to data analysis and visualization.
๐๏ธ Repository Structure
Hereโs a high-level overview of whatโs inside:
๐ data_visualisation/ ๐งช Notebooks and scripts for visual data insights
๐ numpy/ ๐ Examples and utilities using NumPy
๐ pandas/ ๐ผ Pandas notebooks for data manipulation
๐ project/ ๐ Standalone project work
README.md ๐ Project documentation
Note: This structure may grow over time as I add more content.
๐ง Whatโs Included ๐ Notebooks & Code
Exploratory Data Analysis โ Interactive notebooks to explore, clean, and visualize datasets.
NumPy Demos โ Code snippets demonstrating array operations, vectorization, and numerical computing.
Pandas Tutorials โ Practical examples showing how to manipulate and analyze tabular data.
Visualization Projects โ Plots, charts, and visual summaries of insights using popular libraries like Matplotlib and Seaborn.
๐ฅ Dependencies
Some of the common libraries used throughout the notebooks include:
Python (3.7+)
NumPy
pandas
Matplotlib / Seaborn
Jupyter Notebook environment
You can install dependencies with:
pip install numpy pandas matplotlib seaborn jupyter
๐ Getting Started
Clone this repository:
git clone https://github.com/Goofyparag/Data-Science.git
Launch Jupyter Notebook:
cd Data-Science jupyter notebook
Explore folders and notebooks to run and experiment with the code!
๐ก Contributing
This repo is personal โ but youโre welcome to:
โญ Star it if you find it useful
๐ Suggest improvements via Issues
๐ ๏ธ Send Pull Requests if youโd like to contribute educational content
๐ซ Stay in Touch
Made with โค๏ธ by Goofyparag
Feel free to connect if you have questions or collaboration ideas!