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1. codeup-germain/Esports-Analysis codeup-germain/Esports-Analysis Public

   In this project our teams goal was to use machine learning to accurately predict the winner of a league of legends match at the 10 minute mark.

   Jupyter Notebook 1

2. austin-animal-center-tsa-project austin-animal-center-tsa-project Public

   Acquired data sets from Austin's Open Data Portal and merged them into a single data frame on a common datetime index for time series analysis. Utilized simple average, moving average, Holt's Linea…

   Jupyter Notebook

3. Codeup-NLP-Project/NLP-Project Codeup-NLP-Project/NLP-Project Public

   This project scraped README markdown files from Github repos and we used natural language processing to filter and create datasets for each programming language. Using these datasets from over 30,0…

   Jupyter Notebook 1

4. zillow_regression_project zillow_regression_project Public

   Utilized LinearRegression, LassoLars, TweedieRegressor, and Polynomial models to predict the tax value of California properties. My best model (Polynomial, degree = 3) had an RMSE of $194,000 and R…

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5. zillow-clustering-project zillow-clustering-project Public

   The goal for this project was to discover drivers of error in the Zillow Zestimate. I went through the entire machine learning pipeline and used K-Means to form clusters in my data for exploration …

   Jupyter Notebook

6. telco_churn_project telco_churn_project Public

   The goal of this project was to utilize classification models to predict whether or not a customer would churn. I went through the entire machine learning pipeline, discovered drivers of churn, and…

   Jupyter Notebook 2