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I am fairly new to machine learning, I am understanding the basics of regression analysis currently. I have come across this dataset California Housing https://archive.ics.uci.edu/ml/datasets/Housing provided by UCI. Is there any place that walks through for above dataset ( or any large dataset in general ) how to break down a unknown dataset and build a regression model out of it?

This will really help me in giving a high level picture and then i can work on details.

Thanks in advance!

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closed as too broad by Nick Cox, Scortchi Feb 24 '16 at 10:38

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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Take a look at "An Introduction to Statistical Learning" by Hastie and Tibshirani. The ebook is for free (http://www-bcf.usc.edu/~gareth/ISL/) and they provide a good video tutorial as well. They also work with the Boston housing dataset.
Furthermore, all examples are done with R and are easily reproducible (code is available).

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