Jess Chace

Investigator | Data Scientist

The Data Sleuth


  1. Kaggle machine learning competition West Nile Virus
    Predicting West Nile Virus in Chicago Using Advanced Modeling Techniques
    By Jess Chace
    15 Jun 2018 • 9 min read

    In June 2015, the City of Chicago released data to Kaggle and asked competitors to predict which areas of the city would be more prone to West Nile Virus outbreaks.

  2. Machine learning with Keras
    The Writing's on the Wall, Part 1 (Introduction to Neural Networks Using Keras)
    By Jess Chace
    07 Jun 2018 • 8 min read

    Visions of the future are never completely true, but with the right key, some can be more truthful than others. Here’s an introduction to the neural network library, Keras, which I used to predict handwritten numbers.

  3. Predictive Modeling Hackathon
    Salary Predictions Using Only 3 Features and XGBoost
    By Jess Chace
    05 Jun 2018 • 5 min read

    Sometimes you can’t get everything you want. Here’s an afternoon hackathon project that challenged me to make the most of what I had.

  4. Web scraping and natural language processing Reddit data science project
    How to Be Popular on Reddit
    By Jess Chace
    05 Jun 2018 • 11 min read

    With an endless supply of things to read on the internet, it seems impossible to write a post that anyone else but your mom will read. But with a few (hundred) lines of code, even a platform as wild as Reddit can be neatly distilled into a handful of targeted insights.

  5. Kaggle Linear Regression Ames Iowa Housing Prices
    How to Predict Housing Prices with Linear Regression
    By Jess Chace
    23 May 2018 • 10 min read

    When buying a new home, everyone wants the most bang for the buck. To that end, I analyzed homes in Ames, Iowa to identify what features of a house contribute the most to its sale price.

  6. Kaggle Machine Learning competition Titanic dataset
    Would I Have Survived the Titanic?
    By Jess Chace
    21 May 2018 • 6 min read

    While the infamous shipwreck happened over 100 years ago, its cultural significance is sunk deep into our collective memory as one of the most tragic manifestations of hubris, classism, and dumb luck. To that end, I analyzed the data provided on Kaggle’s website to determine more specifically how features such as age, gender, class, and wealth predetermined a passenger’s fate on April 15, 1911 aboard the RMS Titanic.

  7. Data Science
    Why I Decided to Learn Data Science
    By Jess Chace
    23 Apr 2018 • 3 min read

    On April 23, 2018, I enrolled in General Assembly’s Data Science course, a full-time immersion program designed to teach programming languages, data analysis techniques, and machine learning skills in 12 weeks.