K-means Clustering

Principal Component Analysis (PCA)

Decision Trees

Apriori Algorithm

Mean Absolute Error (MAE)

Confusion Matrix

R-squared

Silhouette Score

It requires labeled data for training.

It aims to find hidden patterns or intrinsic structures in input data.

It is mainly used for predictive modeling.

Random Forest is an example of unsupervised learning.

Standardization

One-Hot Encoding

Log Transformation

Min-Max Scaling

Wind Energy

Geothermal Energy

Solar Energy

Nuclear Energy

Support Vector Machine (SVM)

K-means

Gaussian Mixture Models (GMM)

K-Nearest Neighbors (KNN)

Information Technology

Tourism and Hospitality

Automotive Manufacturing

Mining and Extraction