Canada Income Analysis using Linear Regression
This project aims to analyze income data in Canada using linear regression. The linear regression model is employed to understand the relationship between various factors and income levels.
Prerequisites
- Python 3.x
- Jupyter Notebook (optional but recommended)
Import the dataset
- On Colab/Jupyter, import the 'canada_per_capita_income.csv' dataset
Import the .ipynb file
- Import the 'Canada_Income_Analysis.ipynb' file and run it
To know more about linear regression click here