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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
Last synced: about 6 hours ago
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Implementation of Simple and Multiple Linear Regression
- Host: GitHub
- URL: https://github.com/alokverma18/linear-regression
- Owner: alokverma18
- License: mit
- Created: 2023-08-18T17:19:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-11T17:32:09.000Z (over 1 year ago)
- Last Synced: 2023-10-12T04:42:09.928Z (over 1 year ago)
- Topics: co2-emissions-prediction, machine-learning, multiple-linear-regression, python, regression, simple-linear-regression, supervised-learning
- Language: Python
- Homepage:
- Size: 26.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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/)
[![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/ak_verma18)##
### Leave a 🌟 if it was Helpful!!
### Thanks!