Name | Size | Last Modified |
|---|---|---|
| R² (R-squared) in Regression Analysis.ipynb | 71.4 KB | |
| 2 Numpy for Linear Regression .ipynb | 181 KB | |
| 3 Employee_Appraisal_Regression_Analysis.ipynb | 1.2 MB | |
| 5 Non-Linear-Regression.ipynb | 396.7 KB | |
| 5.1 Exponential equation .ipynb | 44.9 KB | |
| 6. Non-Linear-Regression.ipynb | 467.5 KB | |
| 7. Polynomial-Regression.ipynb | 591.4 KB | |
| Co2 EmissionConsumption.csv | 67.9 KB | |
| Exam_Score.xlsx | 9.9 KB | |
| FuelConsumption.csv | 67.9 KB | |
| LASSO and Ridge Regression.ipynb | 197.7 KB | |
| Lab 1 Salary Prediction using Regression.ipynb | 122.3 KB | |
| Linear Regression-1.ipynb | 332.4 KB | |
| NewData.csv | 125 bytes | |
| NonLinear_Regression_Examples.ipynb | 200 KB | |
| Salary.xlsx | 10.7 KB | |
| Step-by-Step Implementation for Polynomial Regression on Fuel Data.ipynb | 104.2 KB | |
| Undersatnding Multiple Linear Regression.ipynb | 1.3 MB | |
| appraisal_dataset.csv | 21.9 KB | |
| gdp.csv | 1.2 KB | |
| house_data.csv | 132.7 KB | |
| india_gdp.csv | 2.3 KB | |
| sales_data.csv | 1.1 MB | |
| sample | 1 bytes |
