Principal component Analysis in R
Principal Component Analysis (PCA) is a dimensionality reduction technique …
Showing posts with the label R
How to Use SQL in RStudio Using the DBI Package: A Complete Beginner-Friendly Guide
ABDUL KHADER S
Working with databases is a crucial part of modern data analysis. If you use R …
R Markdown: Creating Dynamic, Reproducible, and Professional Documents
ABDUL KHADER S
R Markdown has become one of the most valuable tools for data analysts, researc…
What is Normality? Why do we have to use Normality? with example
ABDUL KHADER S
In statistics, Normality refers to the distribution of data whose shape is s…
Data Wrangling procedure in R
ABDUL KHADER S
Data wrangling is the process of cleaning, converting, and organizing raw …
Random Forest in R
ABDUL KHADER S
Random Forest is a machine-learning technique used for classification and …
Naive Bayes in R
ABDUL KHADER S
Naive Bayes is a probabilistic algorithm used in machine learning for class…
Decision Tree in R
ABDUL KHADER S
A decision tree is a supervised machine-learning technique for solving cla…
K-Nearest Neighbor(KNN) in R
ABDUL KHADER S
K-Nearest Neighbors (KNN) is a supervised machine learning algorithm that ca…