Jupyter Notebook

Great Learning

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details

                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study

                                    Mode of Delivery
                                    Video and Text Based

The first section will introduce you to the free, open-source platform, Jupyter Notebook, and its significance in Data Science.

This section will acquaint you with various features of the Jupyter Notebook, such as its support for multiple programming languages, interactive UI, etc., along with a few crucial insights on who uses this platform.

This section will brief you on the procedure for installing the Jupyter Notebook on your system with the help of a hands-on tutorial.

This section will demonstrate how to implement Jupyter Notebook from the techniques it offers to execute a simple Python program.

You will execute a hands-on Data Science demonstration in the last section of this Jupyter Notebook online course.
You will learn how to import several libraries, import and print the dataset, correlation, etc., using several Machine Learning techniques.

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