Creating Web Apps based on Data Science and Machine Learning

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Prof. Sungjoon Nam (SUNY Korea) created online stat/marketing research tools for undergraduate education and marketing research companies. This can be an alternative for SPSS, especially with survey analytics. Shown below is a link.

www.numberanalytics.com

In addition, Prof. Vincent Nijs (University of California, San Diego) created business analytics based on R and Shiny. Shown below are YouTube demo and GitHub link. 

Introducing Radiant - YouTube



With Dash, Plotly, and Streamlit in Python, it is now quite straightforward to make web apps based on your data science and machine learning efforts. 

Comments

  1. Alfred Avina1/23/2020 11:26 AM

    Google brain is working in the Big data consulting services to make it a huge success for the world. We hope that society will soon use AI devices at a reasonable cost.

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