R Data Science Project

R Data Science Project

Data Professor via YouTube Direct link

Web Apps in R: Build Interactive Histogram Web Application in R | Shiny Tutorial Ep 2

9 of 16

9 of 16

Web Apps in R: Build Interactive Histogram Web Application in R | Shiny Tutorial Ep 2

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Classroom Contents

R Data Science Project

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  1. 1 Exploratory Data Analysis in R: Towards Data Understanding
  2. 2 Exploratory Data Analysis in R: Quick Dive into Data Visualization
  3. 3 Machine Learning in R: Building a Classification Model
  4. 4 Machine Learning in R: Repurpose Machine Learning Code for New Data
  5. 5 Machine Learning in R: Deploy Machine Learning Model using RDS
  6. 6 Data Pre-processing in R: Handling Missing Data
  7. 7 Machine Learning in R: Speed up Model Building with Parallel Computing
  8. 8 Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1
  9. 9 Web Apps in R: Build Interactive Histogram Web Application in R | Shiny Tutorial Ep 2
  10. 10 Web Apps in R: Building Data-Driven Web Application in R | Shiny Tutorial Ep 3
  11. 11 Web Apps in R: Building the Machine Learning Web Application in R | Shiny Tutorial Ep 4
  12. 12 Web Apps in R: Build BMI Calculator web application in R for health monitoring | Shiny Tutorial Ep 5
  13. 13 Making Scatter Plots in R [Data Visualisation in R series]
  14. 14 Machine Learning in R: Building a Linear Regression Model
  15. 15 Web Apps in R: How to Deploy R Shiny web app to Heroku | Shiny Tutorial Ep 6
  16. 16 How to handle missing data in R (Ft. @Statistics Globe)

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