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hgropper/README.md

  • 👋 Hi, I’m Harrison Gropper, but you can call me Harry if you'd like to!

  • 👀 I’m interested in anything that has to do with data science, and this is why: Data is the best story teller. As time passes, the more data there is and the more interesting stories we can tell.

  • 🌱 I’m currently learning Machine Learning. Implementing many algorithms from scratch and understanding how they work. For example, decision trees, gradient descent, autoencoders, and support vector machines.

  • 💞️ I’m looking to collaborate on anything that is data science related!

  • 📫 How to reach me: My email is hgropper25@gmail.com

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  1. Decision-Trees-and-Regression Decision-Trees-and-Regression Public

    Implementing Decision Trees and Regression from scratch. Decision Trees Question: There are multiple features... which feature do we split on? AND where do we split in this feature?

    Jupyter Notebook

  2. Stochastic-Gradient-Descent-Soft-Classifiers Stochastic-Gradient-Descent-Soft-Classifiers Public

    This was a homework assignment in my machine learning class. The homework included the topics of information gain, soft classifiers, gradient descent, and support vector machines.

    Jupyter Notebook

  3. Unsupervised-Learning Unsupervised-Learning Public

    We look at the structure of data and not its corresponding output Y. By looking at the structure of data we can better understand the given data. We can do this using various unsupervised machine l…

    Jupyter Notebook