Productivity Tools for Large-scale Data Science Projects

Author(s): Benjamin Obi Tayo Ph.D.

Originally published on Towards AI.

Analyzing different productivity tools used for real-world industrial type projects

Photo by imgix on Unsplash

Basic productivity tools for data science such as Jupyter notebook and R Studio are good tools for small-scale data science and machine learning projects. In these types of projects, the dataset is often very simple such that model building, testing, and evaluation can even be performed within a reasonable amount of time on a laptop computer. Here are two examples of small-scale projects using Jupyter notebook and R Studio:

The machine learning model for predicting cruise ship crew size: The dataset and Jupyter notebook can be found here: ML model for predicting ship’s crew size.The machine learning… Read the full blog for free on Medium.

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Published via Towards AI