eavestn / learnings.machine-learning.foundations.numpy

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The code seen in this repository is code completed as a part of Udacity's Introduction to Machine Learning (Tensorflow) program. Two things to take note when looking at the code in this repository:

  1. This code is largely my own; however, as each segment is completed within the confines of a particular lesson, certain code outlines, shortcuts, or other code quality issues are more-directly related to the curriculum and provided code samples. Where I have been able - and where it does not add a tremendous amount of time to my learning experience - I have lightly refactored some of the base sample to make better sense to me.
  2. This code is meant for me; this code is "Notes". It sucks.

Important Environment Configuration Links

Once installed, you should be able to execute jupyter-lab from your terminal, opening a Jupyter Lab instance on your machine. The instance will be hosted on your local machine (defaulted on Windows to localhost:8888/lab).

Once open, you should be able to select an environment for you Notebook from the landing page. At the time of writing, Lab is using Python 3 for its Notebook environment. Select the appropriate icon to get started.

This will create a .ipynb file within the host system.

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