Showing posts with label Web Apps. Show all posts
Showing posts with label Web Apps. Show all posts

Creating Web Apps based on Data Science and Machine Learning

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. 

Python Data Science Cheat Sheet

Practical Data Science: Promotion Effectiveness and Promotion Planning—Part 3

6-Step Process | Step 2 — Prepare Modeling Dataset (1/2) Photo by  Aexander Sinn  on  Unsplash Welcome back to a series of articles on promo...