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📊 Data Analysis Projects

Welcome! This repository contains a collection of data science projects built using Python (and a little R). These projects cover a range of topics from statistical modeling and visualization to machine learning and real-world datasets.

Whether you're just starting out in data science or looking to explore practical examples, this repo has something for you!

🧠 What's Inside?

Here are some of the types of projects and topics you'll find:

  • Machine Learning Logistic regression, random forests, prediction intervals, and more.

  • Statistics & Probability Bayesian inference, Poisson distributions, ECDFs, and statistical significance.

  • Visualization Projects using Plotly, Datashader, and pair plots for insightful visual storytelling.

  • Time Series & Features Working with cyclical features, time features, and stock market data.

  • Data Engineering & Automation Web automation scripts, Slack interactions, and organizing large datasets.

  • Geographic & Traffic Data Analysis of NYC traffic data and geospatial visualization.

  • Miscellaneous Explorations Economics, learning habits, weight loss tracking, and more.

Each folder in the repo contains code, Jupyter notebooks, and notes that explain the thinking behind the project.

📚 Many Projects are Also Articles

I’ve written up many of these projects as articles on Towards Data Science — where I explain the concepts in more detail for a broader audience.

📂 Project History

These projects span several years — from early experiments 7–8 years ago to more recent work. Some folders include notes like:

  • "Working on plotting"
  • "Finished prediction intervals notebook"
  • "Formatted with Black"
  • "Added table of contents"

This variety reflects an evolving learning journey through data science.

🚀 Getting Started

To run these notebooks:

  1. Clone the repository

    git clone https://github.com/YOUR_USERNAME/data-analysis.git

  2. Install dependencies

    pip install -r requirements.txt

  3. Launch Jupyter Notebook or JupyterLab

    jupyter notebook

📬 Get in Touch

If you have questions or want to connect, feel free to reach out on Twitter @koehrsen_will.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.