<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/data-science-live-book-open-source/"></div></div><div><a data-url="https://www.r-bloggers.com/data-science-live-book-open-source/" data-counturl="https://www.r-bloggers.com/data-science-live-book-open-source/" data-count="horizontal" data-text="Data Science Live Book (open source)" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.datascienceheroes.com/data-science-live-book-open-source/"> R - Data Science Heroes Blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>Hi! Well finally there is the first release of this project: An <strong>open source</strong> book which will <em>hopefully</em> contain some useful resources for those who want to learn some data analysis/machine learning.</p>
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<p>This release covers a little of data preparation, data profiling, selecting best variables (dataviz), assessing model performance, and coming soon a case study using decision trees.</p>
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<a target="_blank" href="http://livebook.datascienceheroes.com/"><br>
<img alt="Data Science Live Book" src="https://i2.wp.com/datascienceheroes.com/img/blog/book_gray.png?w=456" data-recalc-dims="1">Jump to the book…<br>
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<font size="3"><em>First published at: <a target="_blank" href="http://blog.datascienceheroes.com/data-science-live-book-open-source">http://blog.datascienceheroes.com/data-science-live-book-open-source</a></em></font></p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.datascienceheroes.com/data-science-live-book-open-source/"> R - Data Science Heroes Blog</a></strong>.</div>
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