Goto

Collaborating Authors

 structuring jupyter notebook


Structuring Jupyter Notebooks For Fast and Iterative Machine Learning Experiments

#artificialintelligence

How and why to start Learning to be a data scientist in 2020! This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!


Structuring Jupyter Notebooks For Fast and Iterative Machine Learning Experiments

#artificialintelligence

Unlike in the software world, the term "reusable component" can be hard to apply in the modeling world. Experiments are often one-off, and not many codes were reused. If you're a clean code advocate who likes spending time refactoring every single line of code to follow the "Don't Repeat Yourself" (DRY) principle, you could easily spend too much time doing so. However, I'm not suggesting to go to the opposite of the "Don't Repeat Yourself" principle. I've seen very messy and unorganized Jupyter notebook directories.