Skip to content
View luke-lite's full-sized avatar
2 followers · 7 following

Achievements

Achievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pull Shark

Block or report luke-lite

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
luke-lite/README.md

Hi, there 👋 I’m Luke DiPerna

I'm a data guy with a background in education and an interest in language, sports, real estate, and finance. Below you can find repos for my data and machine learning projects, which you can also see on my website here.

Proficiencies: SQL, Python, Machine Learning, Tableau

Pinned Loading

  1. luke-lite.github.io luke-lite.github.io Public

    My portfolio site with data science projects, data analysis tools, and articles.

    HTML 1

  2. St.-Louis-NIBRS-Crime-Database St.-Louis-NIBRS-Crime-Database Public

    A project to transform raw crime data from the city of St. Louis and create a comprehensive database containing all NIBRS related crime data.

    Python 1

  3. NBA-Prediction-Modeling NBA-Prediction-Modeling Public

    Using machine learning to predict the outcome of NBA games.

    Jupyter Notebook 9 3

  4. Jacksonville-Housing-Prices-Time-Series-Analysis Jacksonville-Housing-Prices-Time-Series-Analysis Public

    Forecasting house prices by zip code in Jacksonville, FL. using time series analysis.

    Jupyter Notebook

  5. Bank-Account-Fraud-Detection Bank-Account-Fraud-Detection Public

    Examining bias in machine learning solutions to bank fraud detection.

    Jupyter Notebook

  6. Residential-Real-Estate-Analysis Residential-Real-Estate-Analysis Public

    Using linear regression to analyze the King County house sales dataset

    Jupyter Notebook