<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Fri, 17 Apr 2026 18:23:16 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/scipy/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[[SciPy] 2. Density Estimation (Application to Scatter Plot)]]></title><description><![CDATA[두번째로 작성하는 Scipy 주제입니다. 사실 제가 저번 시간 선형 회귀로 Scipy 주제를 시작한 계기가 바로 오늘의 Density Estimation 입니다. 따라서 3편은 (아직) 예정이 없다는 얘기 ㅋㅋ 이번에도 먼저 아래 Scatter Plot 산점도로부터 시작해 보겠습니다. 이 그림에 대한 자세한 설명은 역시 생략합니다! 다만 저번과 마찬가지로 X축,]]></description><link>http://direct.ecency.com/kr-python/@dj-on-steem/scipy-2-density-estimation-application-to-scatter-plot</link><guid isPermaLink="true">http://direct.ecency.com/kr-python/@dj-on-steem/scipy-2-density-estimation-application-to-scatter-plot</guid><category><![CDATA[kr-python]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Mon, 27 Aug 2018 19:20:36 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iPDnKoAKmUe3JegZAELFS237TrMxHZbbfBStnShEaeVM8xZmjveCemQP33jSCeLsqknC8yNkQJA?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[SciPy] 1. Linear Regression (Application to Scatter Plot)]]></title><description><![CDATA[안녕하세요! 오랜만에, 정말 정말 오랜만에, [Matplotlib, Numpy, and Scipy] 주제로 돌아왔습니다. 이번 소주제는 Linear Regression 선형 회귀(線型 回歸)입니다. 먼저 아래 Scatter Plot 산점도를 보시겠습니다. 이 그림에 대한 자세한 설명은 생략합니다! 다만 X축, Y축, 그리고 Color 이렇게 세가지 변수로 각각의]]></description><link>http://direct.ecency.com/kr-python/@dj-on-steem/scipy-1-linear-regression-application-to-scatter-plot</link><guid isPermaLink="true">http://direct.ecency.com/kr-python/@dj-on-steem/scipy-1-linear-regression-application-to-scatter-plot</guid><category><![CDATA[kr-python]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Wed, 22 Aug 2018 15:58:27 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iP4n1MXAaUDgFWKST45VaC3YzRfC5fG6rHH5BYRNJg9Cebcf2HLHFhMGC2YNnoL2cc2p3Tj29Yz?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Makine öğrenmesi]]></title><description><![CDATA[Machine Learning ve Python Python veri analizi için mükemmel bir dildir çünkü mevcut olan binerce paket sayesinde veri analistler ve geliştiriciler için en iyi seçimdir. Machine learning için ihtiyacımız]]></description><link>http://direct.ecency.com/coogger/@baristutakli/makine-ogrenmesi</link><guid isPermaLink="true">http://direct.ecency.com/coogger/@baristutakli/makine-ogrenmesi</guid><category><![CDATA[coogger]]></category><dc:creator><![CDATA[baristutakli]]></dc:creator><pubDate>Wed, 16 May 2018 18:49:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/8SzwQbWfyX9efn6wGBMfKPW44nRB29WgMPAEYvAbwkyCwXKcbBhM2EzvaKjqFqxJzd6bX78B8up97Hawi7WDd6YF1hSpcbiBPT9bBcpHP3RsnjDEcrS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Tutorial - embeding scipy + matplotlib with tkinter to work on images in a GUI framework]]></title><description><![CDATA[Repository What Will I Learn? How to make a gui using tkinter libraries Display images using matplotlib on a tkinter frame Image manipulation and processing using Numpy and Scipy Requirements Windows OS]]></description><link>http://direct.ecency.com/utopian-io/@hadif66/tutorial-embeding-scipy-matplotlib-with-tkinter-to-work-on-images-in-a-gui-framework</link><guid isPermaLink="true">http://direct.ecency.com/utopian-io/@hadif66/tutorial-embeding-scipy-matplotlib-with-tkinter-to-work-on-images-in-a-gui-framework</guid><category><![CDATA[utopian-io]]></category><dc:creator><![CDATA[hadif66]]></dc:creator><pubDate>Tue, 08 May 2018 02:34:06 GMT</pubDate><enclosure url="https://images.ecency.com/p/PB8ro82ZpZP5xqHVTtgzxr9jRnPYTxeDK7ZMexdNxMjnznzwZehcET1TmQQLvJgCm1aP5F3uLLGDcW99x4tNGSPTrTZvLBA7cMu1E5DZHSZbRA14?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[2nd part: Array Broadcasting]]></title><description><![CDATA[<html> <p><iframe width="560" height="315" src=" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe></p> </html> ]]></description><link>http://direct.ecency.com/machine-learning/@si118yt118si/3x5rjx-2nd-part-array-broadcasting</link><guid isPermaLink="true">http://direct.ecency.com/machine-learning/@si118yt118si/3x5rjx-2nd-part-array-broadcasting</guid><category><![CDATA[machine-learning]]></category><dc:creator><![CDATA[si118yt118si]]></dc:creator><pubDate>Wed, 14 Feb 2018 07:39:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/x7L2VSNEiyA8Ez5qcckihcYsuqj7dUBcr6bWXERFoiZCTvyBwdShu8iTe6bxWxvDmsEvsRk6PCnEBUi?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Array Broadcasting]]></title><description><![CDATA[<html> <p><iframe width="560" height="315" src=" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe></p> </html>]]></description><link>http://direct.ecency.com/machine-learning/@si118yt118si/2nd-part-array-broadcasting</link><guid isPermaLink="true">http://direct.ecency.com/machine-learning/@si118yt118si/2nd-part-array-broadcasting</guid><category><![CDATA[machine-learning]]></category><dc:creator><![CDATA[si118yt118si]]></dc:creator><pubDate>Tue, 13 Feb 2018 03:28:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/x7L2VSNEiyA8Ez5qcckihcYsuqj7dUBcr6bWXERFoiZCTvyBwdShu8iTe6bxWxvDmsEvsRk6PCnEBUi?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>