Least Squares Regression

1. 1Import necessary libraries such as NumPy and scikit-learn
2. 2Prepare your dataset by defining the independent and dependent variables
3. 3Apply the Ordinary Least Squares (OLS) method to find the coefficients of the regression line
4. 4Use the coefficients to make predictions on new data
5. 5Evaluate the model by calculating the coefficient of determination (R-squared)

Data scientists and analysts can benefit from this method to make predictions and visualize relationships between variables

💡 Least Squares Regression minimizes the sum of squares of residuals to find the best fit line

💡 Use Least Squares Regression to find the line of best fit for your data! #datascience #statistics