Linear Regression Using Python Programming
Name: Tejas Sahoo
Roll No: K057
Branch: BTech Cyber Security
Aim:
To implement linear regression using python programming
Introduction:
Linear regression is defined as an algorithm that provides a linear relationship between an independent variable and a dependent variable to predict the outcome of future events.
Applications:
- Market analysis for sales maximization.
- Financial study for operational performance evaluation.
- Sports analysis for predicting game attendance.
- Predicts environmental impacts of pollution.
Advantages:
- Easy to implement.
- High interpretability.
- Scalable for big data.
Disadvantages:
- Assumes linearity.
- Sensitive to outliers.
**Output
Conclusion:
Linear regression was successfully implemented using Python.