Linear Discriminant Analysis in R | Example with Classification Model & Bi-Plot interpretation

Provides steps for carrying out linear discriminant analysis in r and it's use for developing a classification model.
R file: https://github.com/bkrai/R-files-from...
Timestamps:
00:00 Linear Discriminant Analysis
00:51 Iris Data
02:56 Data Partition
04:15 Linear Discriminant Analysis
07:03 Stacked Histograms of Discriminant Function Values
10:59 Bi-Plot interpretation
14:45 Partition Plots
16:34 Confusion Matrix & Accuracy - Training Data
18:48 Confusion Matrix & Accuracy - Testing Data
19:45 Linear Discriminant Analysis Advantage
19:59 Linear Discriminant Analysis Limitation

linear discriminant analysis is an important statistical tool related to analyzing big data or working in data science field.

R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry.  R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

• #education
• #big_data
• #data_science
• #analytics