[VERIFIED] Download Coursera Jupyter Notebook

I am going through ML Specialization from Coursera and want to use DataLore to replace Coursera-embedded Jupyter notebooks. There is an image folder I can download from Coursera. I can upload it to the workspace (preferred) or notebook files in DataLore. So far, so good. But referencing these images in Markdown cells does nothing.

I have enrolled in some courses on Coursera that have assignments that need to be completed in a Jupyter notebook. Jupyter notebooks are awesome, but the Coursera-hub of those notebooks is very frustrating.

Download Coursera Jupyter Notebook

Download Zip 🔥 https://urloso.com/2y2Dal 🔥

For each course I created a dedicated jupyter notebook for course notes, organized by week and weekly sub-topics (these notebooks are available on github here). I would pause throughout each lecture video to add concise notes to my notebook, including screen captures of the most important slides. I often had the experience of beginning to type up some notes, only to realize there was some gap in my understanding which prompted me to skip back in the video to clarify; without taking notes I wouldn't even have been aware of my own misunderstandings. Whenever it felt like we were moving into a new topic I would add a summary section to the notebook where I would read back through my notes and try to summarize the content as concisely as possible. I highly recommend this approach for these reasons:

The homeworks are in the form of jupyter notebooks served out from a remote server, which have a submission button for grading. At the end of each course I looked back through the homework notebooks and pulled out any functions and code snippets that I wanted to be able to reference quickly, and also typed up summaries of how the code was organized in the homeworks, as I found this very helpful for solidifying the ideas. Many of the homework notebooks are behind a paywall, so I also made sure to download the full jupyter workspace for the course (not just the homeworks, but data and helper scripts also) so I could rerun the homework locally after my subscription ended. Instructions for that are here.

Technical Bugs. Expect to deal with a few headaches around the homework notebook technology (you are missing files in your workspace on the server, the grading process is timing out on your notebook submission, etc.). Annoyingly, the homework notebook stuff is provided not by Coursera but by an unspecified third party, so Coursera will refuse to help you troubleshoot any issues. The only way to deal with these bugs is exhaustive search in the course forums for threads dealing with similar issues. More than once I spent upwards of an hour trying to solve an issue, which was pretty frustrating.

Thanks for the useful advice.

I managed to download and unzip all files to my local PC following your instructions. However, when I upload one of the notebooks to jupyter notebook, the embedded images are not shown. Do you have any ideas what are the reasons?

You are currently looking at version 1.1 of this notebook. To download notebooks and datafiles, as well as get help on Jupyter notebooks in the Coursera platform, visit the Jupyter Notebook FAQ course resource.

We will be using Instabase for this assignment. You will need the files found at the following link copied to your personal Instabase account: Assignment 3.

To copy files to your personal Instabase account, first select all of the files by pressing the "Shift" key while simultaneouslyclicking on each of the files. This will cause an "Actions" dropdown menu to appear above the file names. Click on this dropdownmenu, choose "Copy To", and then copy the files over to your own private Instabase folder (you can create a new private folder at this step if you want).Once you've done this, you should have a private copy of the assignment to work on. Navigate to the folder where you copied the files to, and the folder should contain PythonAssign.ipynb, Players.csv, Teams.csv, and Titanic.csv. Right-click on PythonAssign.ipynb and select Open With > Jupyter. (If you simply double-click on it, it will show you the file but will not run Jupyter notebooks.) Sometimes it will take a minute or so for a new Jupyter server to start up on your behalf. Once it does, you are ready to go! In the notebook you will see clearly where you need to add code for the different problems.

Complete the problems in PythonAssign.ipynb. Please follow the setup instructions above to create your own copy of the assignment. Make sure that the data (Players.csv, Teams.csv, Titanic.csv) is in the same folder as the notebook.

Once you had installed Supervisor, you can proceed with creating a directory to keep your Jupyter Notebook documents. For example, you can run the following command to create the jupyter-notebook directory inside the home directory:

Once you had created the virtual environment with Jupyter Notebook installed, proceed to create a shell script to run Jupyter Notebook. To do so, run the following command to create a shell script at ~/run-jupyter-notebook.sh: ff782bc1db