R Data Science Project
Offered By: Data Professor via YouTube
Course Description
Overview
Syllabus
Exploratory Data Analysis in R: Towards Data Understanding.
Exploratory Data Analysis in R: Quick Dive into Data Visualization.
Machine Learning in R: Building a Classification Model.
Machine Learning in R: Repurpose Machine Learning Code for New Data.
Machine Learning in R: Deploy Machine Learning Model using RDS.
Data Pre-processing in R: Handling Missing Data.
Machine Learning in R: Speed up Model Building with Parallel Computing.
Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1.
Web Apps in R: Build Interactive Histogram Web Application in R | Shiny Tutorial Ep 2.
Web Apps in R: Building Data-Driven Web Application in R | Shiny Tutorial Ep 3.
Web Apps in R: Building the Machine Learning Web Application in R | Shiny Tutorial Ep 4.
Web Apps in R: Build BMI Calculator web application in R for health monitoring | Shiny Tutorial Ep 5.
Making Scatter Plots in R [Data Visualisation in R series].
Machine Learning in R: Building a Linear Regression Model.
Web Apps in R: How to Deploy R Shiny web app to Heroku | Shiny Tutorial Ep 6.
How to handle missing data in R (Ft. @Statistics Globe).
Taught by
Data Professor
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