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I have a data set that contains houses, different features, and its prices. I'm trying to do an advanced analysis for this data set, I already did house price prediction analysis using different regression techniques like ridge regression, lasso regression, and elastic net regression.

Furthermore, I would like to do machine learning analysis with the data set. what kind of prediction can I do with the above data set? Someone has any ideas please tell me??

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you can develop simple predictive model like Linear regression to predict price of house given other features value, also analyse the features weight/coefficient and optimize your linear regression model.

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  • $\begingroup$ @Anush I already develop a linear regression model also.. I need to do some thing except regression model, is possible to do clustering for this data set? $\endgroup$ – randunu galhena Jan 25 at 9:19
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    $\begingroup$ It depends on business requirement what you want at the end. but for exploration yes, you can work with classification models. Create Price Bins; Try Decision Tree, you can analyse how different variable effecting price. also you can try Support Vector Machines. $\endgroup$ – Ansh Jan 25 at 11:08

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