Getting Set Up for the Mini-Project
There are two ways to code for the current Mini-Project:
- Workspace – You can use the Workspace provided on the very next page. The workspace already has the project instructions to follow.
- Your Personal Computer – You will have to use the Jupyter notebook on your PC or Mac. If you do not have the Jupyter notebook installed, refer to the Anaconda lesson for installation instructions. If you choose this option to work on the project, you may work outside the classroom, and even without an internet connection. You can find the starter code and instruction in this GitHub repository. The file to download is
Mean Normalization and Data Separation.ipynbavailable How to download the Git repository
Step 1. Download and install the Git for your OS Step 2. Open terminal (macOS/Linux) or Git Bash (Windows). Step 3. Run the following commands:
# Change your directory cd <path_to_a_directory_where_you_want_to_download_the_repository> # Download the repository git clone https://github.com/udacity/AIPND.git # Go inside the downloaded repository cd AIPND/NumPy\ Mini-Project/ # List the files. Did you see the `solution.ipynb` file as well? Refer to the solution only when it becomes essential. ls # OPTIONAL STEP - Copy the .ipynb file to another directory cp Mean\ Normalization\ and\ Data\ Separation.ipynb <complete_path_to_the_directory_where_you_want_to_keep_this_notebook>
Step 4. Navigate to the directory where your
Mean Normalization and Data Separation.ipynbfile is residing.
# start the server jupyter notebook
Mean Normalization and Data Separation.ipynbfile to the notebook server.