tl;dr I contributed code to the Google TensorFlow project on GitHub that adds TensorBoard visualizations to the existing TensorFlow “How to Retrain Inception’s Final Layer for New Categories” tutorial. My additions make it easier to understand, debug, and optimize the retraining process. Check it out by walking through the updated...
For project 3, code-named “McNulty,” the goal was to gain exposure to classification methods, understanding of their use, and practice implementing them using scikit-learn. For my project, I chose to classify if an Amazon Kindle Review would be helpful or not-helpful.
Are you learning or experimenting with Apache Spark? Do you want to quickly use Spark with a Jupyter iPython Notebook and Pyspark, but don’t want to go through a lot of complicated steps to install and configure your computer? Are you in the same position as many of my Metis...
In project 1, we focused on learning the fundamental components of the Data Science “toolkit” by analyzing NYC MTA Subway data. In project 2, code-named Project Luther, we built on those fundamentals and learned new concepts and analysis techniques such as web data scraping and linear regression to predict something...
tl;dr In project 1, we learned the fundamental components of the Data Science “toolkit” by analyzing NYC MTA Subway data to recommend the optimal time/subway stop for a non-profit to have volunteers hand out event flyers.