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mgrohnke/README.md

Hi there 👋

  • 🔭 I’m currently working on building a predictive model for NFL games based previous season data and off-season transactions
  • 🌱 I’m currently learning neural networks
  • 🤔 I’m looking for help with django and docker
  • 📫 How to reach me: email: m.grohnke@gmail.com or LinkedIn: /mattgrohnke
  • ⚡ Fun fact: I have a civil engineering degree and worked in real estate development and construction management for 5 years before embarking on this data science journey -->

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  1. tweet_comparison tweet_comparison Public

    Predicts which of two given Twitter users is more likely to have tweeted a given input text

    Python

  2. Pred_Rain_in_Sydney Pred_Rain_in_Sydney Public

    Predictive model to classify if it will rain tomorrow in Sydney, Australia. Based on several weather features from "today" the model will classify "yes" or "no" for rain_tomorrow.

    Jupyter Notebook

  3. Homefield_Advantage_NFL Homefield_Advantage_NFL Public

    Analysis of "homefield advantage" in the NFL using 2017 season game data

    Jupyter Notebook

  4. Build-Week-Spotify-Song-Suggester-3/DS Build-Week-Spotify-Song-Suggester-3/DS Public

    Cloud hosted app that returns similar songs on Spotify based on user input.

    CSS 2