mrzResearchArena / Linear-Regression

Linear Regression Hands-on Implementation

Learning linear algebra

• Unsupervised Learning: No output (Y) is given; Try to learn structure (X).
• Supervised Learning: Both input (X), and output (Y) are given; Try to predict label / real-value.
  • Classification: Try to predict label.
  • Regression: Try to predict real-value.