/ML-Unit-1SB-GeoLink

Primary LanguageJupyter Notebook

Machine Learning - Unit 1 Skill Builder

Getting Started

Begin by forking and cloning this repo!

We will be using Jupyter Notebooks to write python code and markdown throughout this unit. We'll also be using a number of scientific python libraries like Numpy, Matplotlib, and Scikit-learn. Instead of downloading all of these dependencies individually, we will download Anaconda - a package/virtual environment manager that includes all the tools we will need.

Please download Anaconda here. You may use either the command line installer or the gui, but the command line installer is recommended since it installs useful command line tools for you.

If you used the command-line installer

  1. Navigate to this directory in a new terminal window
  2. run the command: jupyter notebook If your terminal doesn't recognize this command, you may refer to the gui installer instructions.
  3. A server will now host the .ipynb files located in this directory, and a new window will open in your default browser.
  4. In this browser window, open the file python-for-ml.ipynb to begin the coding challenges.

If you used the gui installer

  1. Open the Anaconda Navigator application that was installed.
  2. You should see an icon for Jupyter. Launch Jupyter.
  3. Jupyter will display a file tree. Navigate to this directory.
  4. open the file python-for-ml.ipynb to begin the coding challenges.

Jupyter Resources

Here are a couple resources to get you going with Jupyter: