ML/AI

Udactiy NanoDegree Intro to TensorFlow & ML project

Template code is provided in the finding_donors.ipynb notebook file. You will also be required to use the included visuals.py Python file and the census.csv dataset file to complete your work. While some code has already been implemented to get you started, you will need to implement additional functionality when requested to successfully complete the project. Note that the code included in visuals.py is meant to be used out-of-the-box and not intended for students to manipulate. If you are interested in how the visualizations are created in the notebook, please feel free to explore this Python file.

This repo is your starter code for the project. It is the same as the starter code we began with in lesson 2. Install and configure Webpack just as we did in the course. Feel free to refer to the course repo as you build this one, and remember to make frequent commits and to create and merge branches as necessary!

Udactiy NanoDegree Intro to TensorFlow & ML project