Skip to content
View scottmattes1's full-sized avatar
💭
Forecasting dock traffic at the Port of Los Angeles
💭
Forecasting dock traffic at the Port of Los Angeles
10 followers · 17 following

Block or report scottmattes1

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.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse
scottmattes1/README.md
Welcome to My Data Science Project

Hello there! 👋 I'm Scott, a passionate and dedicated data science enthusiast who is on a journey of transitioning from the military to the exciting world of data science. I'm thrilled to invite you to explore my GitHub repositories, where I've showcased the various technical projects and programming skills I've acquired during my intensive training at Codeup, LLC in San Antonio, Texas. As my graduation date in September approaches, I can't wait to leverage my unique experiences as a veteran and my newfound data science expertise to contribute to the exponentially growing data science industry.

What You'll Find in This Portfolio

In this repository, you'll find a collection of diverse projects that highlight my technical skills, creativity, and problem-solving abilities. Each project demonstrates my proficiency in data manipulation, visualization, statistical analysis, and machine learning techniques. Here's a sneak peek into some of the projects you'll discover:

Zillow Home Value Project
Methodology: Regression
Here I explore a real-world house pricing dataset, and build a model to predict a home's value based on its attributes. This project showcases my ability to extract meaningful insights through visualizations and statistical analysis as well as my understanding of the data science pipeline.

Wine Quality Cluster Project
Methodology: Clustering and Regression
A cluster analysis of the physiochemical properties of wine. This project demonstrates my understanding of model selection, training, and evaluation.

Superstore Project
Methodology: Time-Series
A forecasting project where I use data designed to mimic real-world sales data for a national retail store to predict revenue over the next several quarters. A demonstration of my skills in handling time-dependent data and using time series forecasting methods to make future predictions.

Customer Churn Project
Methodology: Classification
Here I build a model to predict when customers are at-risk of churning. This project touches every point of the data science pipeline.

Get in Touch

I'm always excited to connect with fellow data enthusiasts, industry professionals, and potential collaborators. If you have any questions, suggestions, or just want to chat, feel free to reach out to me on LinkedIn (link below).

Thank you for taking the time to explore my portfolio. I'm thrilled about the opportunities that lie ahead, and I can't wait to contribute my skills to the data science community. Let's stay connected and make the future of data science amazing, together!

Best regards,
Scott Mattes

Languages and Tools




__________________________________________________________________________ Codeup Data Science Codeup Logo

Pinned Loading

  1. anomaly-detection-exercises anomaly-detection-exercises Public

    Python

  2. clustering-exercises clustering-exercises Public

    Python

  3. natural-language-processing-exercises natural-language-processing-exercises Public

    Python

  4. regression-exercises regression-exercises Public

    Python