Question: Machine Learning do using python on jupyter notebook 1. Linear Regression Dataset used: Diabetes from sklearn You are asked to solve a regression problem in

Machine Learning

do using python on jupyter notebook
1. Linear Regression
Dataset used: Diabetes from sklearn
You are asked to solve a regression problem in the Diabetes dataset. Please review the Diabetes dataset used before creating a program to decide which attributes will be used in the regression process.
please use the cross-validation step to produce the best evaluation of the model.
All you have to do is
• Perform linear regression using the OLS (Ordinary Least Square) method (sklearn.linear_model.LinearRegression)
• Also do linear regression using additional regularization. (Lasso)
• Also do linear regression by doing gradient descent algorithm training (func: sklearn.linear_model.SGDRegressor)
• In Sklearn there are several other regression methods that can be tried for use in Diabetes problems.(baysean ridge etc)

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