Web Apps in R: Building a Data-Driven Web Application in R with Shiny package

Web Apps in R: Building a Data-Driven Web Application in R with Shiny package
In this video, I will guide you through the process of building a simple data-driven web application in R using the Shiny web framework. This ML-based web app that we are building will be data-driven in the sense that it makes use of the random forest algorithm for predicting whether to play or not play golf as a function of the input weather parameters (weather outlook, temperature, humidity and windy).

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**Gears and resources used to make this video**

FILMING
📷Camera:
🎙️Microphone (Blue Yeti):
🎙️Microphone (Cardioid Condenser Compact Mic):
🎙️Microphone (Lavalier Clip-on Mic):

VIDEO EDITING
💻Lenovo ThinkPad T480:
💻15 inch MacBook Pro (2015 Model): (Link to current model)

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**Book chapters I've written**

📚1. Chapter 2 | Elucidating the Structure-Activity Relationship of Curcumin and Its Biological Activities
Curcumin: Synthesis, Emerging Role in Pain Management and Health Implications
Editor: Daniel Loïc Pouliquen | 2014


📚2. Chapter 8 | AutoWeka: Toward an Automated Data Mining Software for QSAR and QSPR Studies
Artificial Neural Networks
Editor: Hugh Cartwright | 2015


📚3. Chapter 1 | Towards the Revival of Interpretable QSAR Models
Advances in QSAR Modeling: Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences
Editor: Kunal Roy | 2017


📚4. Chapter 10 | Proteochemometric Modeling for Drug Repositioning
In Silico Drug Design: Repurposing Techniques and Methodologies
Editor: Kunal Roy | 2019


📚5. Chapter 3 | Best Practices for Constructing Reproducible QSAR Models
Ecotoxicological QSARs
Editor: Kunal Roy | 2020

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