![]() ![]() With the help of jupyter notebooks, we can share our work with a peer also. One can also capture the result as the part of the notebook. ![]() It helps a data scientist to document the thought process while developing the analysis process. Jupyter notebooks can illustrate the analysis process step by step by arranging the stuff like code, images, text, output etc. The following are some of the features of Jupyter notebooks that makes it one of the best components of Python ML ecosystem − They are formerly known as ipython notebooks. Jupyter notebooks basically provides an interactive computational environment for developing Python based Data Science applications. Machine Learning With Python - Discussion.Machine Learning with Python - Resources.Machine Learning With Python - Quick Guide.Improving Performance of ML Model (Contd…). ![]()
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