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https://github.com/alokverma18/linear-regression

Implementation of Simple and Multiple Linear Regression
https://github.com/alokverma18/linear-regression

co2-emissions-prediction machine-learning multiple-linear-regression python regression simple-linear-regression supervised-learning

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Implementation of Simple and Multiple Linear Regression

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# Linear Regression 📈

This is a project to implement Simple and Multiple Linear Regression on the same dataset that is related to Fuel Consumption and Carbon Dioxide Emission of Cars. Simple Linear Regression is a technique used to model the relationship between two numeric variables: an independent variable ( 'Fuel Consumption' in this project) and a dependent variable ( 'CO2 Emission' in this project), while in Multiple Linear Regression uses two or more independent variables. The goal is to find a linear equation that best represents the relationship between the variables so that we can make predictions based on new values of the independent variable(s).

## Code Outline
- Read Data file.
- Explore the Data and select useful Features.
- Plot the data to find better Relationships.
- Split data into Training and Test sets.
- Create and Fit the Model with selected Feature(s).
- Plot the Output.
- Evaluate the Performance of the Model.

## Modules
- scikit-learn
- pandas
- numpy
- matplotlib

## Contributing
Feel free to Contribute and Improve this by creating a Pull Request or an Issue.

## Connect
[![portfolio](https://img.shields.io/badge/my_portfolio-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://alokverma18.github.io/)
[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/alokverma18/)
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