This repository contains Jupyter notebooks that provide practical examples, exercises, and code implementations based on concepts explained in the StatQuest videos by Josh Starmer.
- Each notebook corresponds to a specific StatQuest video, offering code demonstrations and additional explanations to reinforce the concepts.
- Topics include: statistical analysis, machine learning algorithms, data visualization, and more!
- Fully commented Python code using libraries like
pandas,numpy,matplotlib,scikit-learn, etc.
- Browse through the folders and notebooks to find the video you're interested in.
- Open the corresponding notebook to follow along with the code and apply the concepts discussed in the video.
Contributions are welcome! Feel free to submit a pull request or raise an issue if you find any bugs or have suggestions for improvements.
Feel free to customize it further depending on the content or structure of your repository!