[Idea]: Implement Linear Regression Algorithm

[KGupta2601]

Idea Title

Implement Linear Regression Algorithm

Idea Description

Linear regression is a fundamental statistical method used in supervised machine learning to model the relationship between a dependent variable and one or more independent variables. The algorithm aims to find the best-fitting linear equation that describes how the dependent variable changes as the independent variables vary. This can be achieved through various techniques, including ordinary least squares, gradient descent, or regularization methods (such as Lasso and Ridge regression). The output of a linear regression model is typically a set of coefficients that represent the weight of each independent variable in predicting the dependent variable.

Potential Benefits

• [X] Improves user experience
• [X] Enhances learning
• [X] Adds a new feature
• [X] Improves code quality
• [x] Other

Implementation Suggestions (Optional)

No response

[github-actions[bot]]

👋 Hi @KGupta2601! Thank you for opening your first issue on the Algo project. We're excited to help you out and appreciate your contribution. Please provide as much detail as possible to assist us in addressing the issue effectively. Welcome aboard! 😊

[github-actions[bot]]

👋 Hi @KGupta2601! Thanks for opening this issue. We appreciate your contribution to the Algo project. Our team will review it soon.

[KGupta2601]

@ajay-dhangar kindly assign me this issue