Stochastic Gradient Descent for linear regression

[priyagunjate]

To implement stochastic gradient descent to optimize a linear regression algorithm on Boston House Prices dataset which is already exists in sklearn as a sklearn.linear_model.SGDRegressor.here,SGD algorithm is defined manually and then comapring the both results.Linear regression is technique to predict on real values.

stochastic gradient descent technique , evaluates and updates the coefficients every iteration to minimize the error of a model on training data.

Objective:

To Implement stochastic gradient descent on Bostan House Prices dataset for linear Regression

• Implement SGD and deploy on Bostan House Prices dataset.
• Comapare the Results with sklearn.linear_model.SGDRegressor
• Compare the results when Learning rate is constant

[priyagunjate]

SGD.pdf