Introduction
Discover the fundamentals of Linear Regression, a foundational algorithm for predicting continuous values in machine learning.
Theory
Explore the mathematical principles of Linear Regression, including Ordinary Least Squares and Gradient Descent.
TensorFlow Example
Learn how to implement Linear Regression using TensorFlow, with practical examples and applications.
PyTorch Example
A step-by-step guide to implementing Linear Regression in PyTorch for effective model building.
scikit-learn Example
Linear Regression implementation using scikit-learn, focusing on model training and evaluation.
Common Mistakes & Best Practices
Avoid common pitfalls in Linear Regression and optimize your models with best practices.
Comparison with Other Algorithms
Compare Linear Regression with other regression techniques to understand its strengths and limitations.