Jupyter notebooks are a convenient way of prototyping our Machine Learning models. They are also very easy to use and provide a convenient way of teaching data science concepts while simultaneously showing the working of the code using the code cells. If we want to test several examples for some functionality, then we need to repeatedly change the code and run the cells to get the output. Also, anyone who doesn’t have a good programming background may face difficulty handling the code.

Read More