https://github.com/isratafrin826/linear-regression-model
Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.
https://github.com/isratafrin826/linear-regression-model
googlecolaboratory numpy pandas sklearn
Last synced: 3 months ago
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Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.
- Host: GitHub
- URL: https://github.com/isratafrin826/linear-regression-model
- Owner: IsratAfrin826
- Created: 2025-09-23T14:50:21.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-09-23T14:52:32.000Z (10 months ago)
- Last Synced: 2025-09-23T16:31:54.024Z (10 months ago)
- Topics: googlecolaboratory, numpy, pandas, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 8.79 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Linear-Regression-Model
Assignment_Linear_Regression
Make a model(Linear_Regression) and calculate model accuracy using the attached data.