<?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>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Wed, 22 Jul 2026 11:55:20 GMT</lastBuildDate><atom:link href="https://ecency.com/created/scikit-learn/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Introduction]]></title><description><![CDATA[INTRODUCTION My name is Chaitanya Sharma and I, along with my hackmates, Introducing the Eco Guardian Battery, the next generation of eco-friendly energy storage solutions designed to meet the growing]]></description><link>https://ecency.com/@red-zone/introduction</link><guid isPermaLink="true">https://ecency.com/@red-zone/introduction</guid><category><![CDATA[html]]></category><dc:creator><![CDATA[red-zone]]></dc:creator><pubDate>Thu, 27 Jun 2024 18:49:09 GMT</pubDate><enclosure url="https://i.ecency.com/DQmX3tzrPoiJrn8gqCLWzHPp5vNYcmtR8zp7dwrJrnEkArk/screenshot_378_.png" length="0" type="image/png"/></item><item><title><![CDATA[introduction to machine learning with python study 01_lab2-3]]></title><description><![CDATA[<파이썬 라이브러리를 활용한 머신러닝> 공부 lab2-3 2-3 챕터의 실습내용입니다. 해당 내용은 다음의 링크에서도 확인하실 수 있습니다. mglearn이라는 패키지가 정확히 어떤 역할을 하고 있는지 파악할 필요가 있습니다. 한 번 준비된 데이터를 통해 그려보도록 하죠. 오 그래프가 하나 튀어나왔습니다. 다만 해당 그래프의 데이터는 어떤 의미가]]></description><link>https://ecency.com/@jaeuxis/introduction-to-machine-learning-with-python-study-01lab2-3</link><guid isPermaLink="true">https://ecency.com/@jaeuxis/introduction-to-machine-learning-with-python-study-01lab2-3</guid><category><![CDATA[python]]></category><dc:creator><![CDATA[jaeuxis]]></dc:creator><pubDate>Tue, 21 Aug 2018 02:48:30 GMT</pubDate><enclosure url="https://i.ecency.com/p/2N61tyyncFaFVtpM8rCsJzDgecVMtkz4jpzBsszXjhqan9utBMdiYtG2i1jgKy188c9P3xu1C946G24J1pco4tBtvtmMP7gxatZzSoGumQ2ny4wpds7LUqjZMu6EArjHvDHXVYuSwgCE?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[introduction to machine learning with python study 00_intro]]></title><description><![CDATA[<파이썬 라이브러리를 활용한 머신러닝> 공부 오라일리 introduction to machine learning with python 을 활용합니다. 해당 내용은 다음의 링크에서도 확인하실 수 있습니다. 스팀잇 마크다운 syntax highlight도 지원 안하고... 오지게 더럽네요... 본 스터디의 내용은 기본적으로 python3의 venv환경에서]]></description><link>https://ecency.com/@jaeuxis/intro</link><guid isPermaLink="true">https://ecency.com/@jaeuxis/intro</guid><category><![CDATA[python]]></category><dc:creator><![CDATA[jaeuxis]]></dc:creator><pubDate>Tue, 21 Aug 2018 00:54:21 GMT</pubDate><enclosure url="https://i.ecency.com/p/2N61tyyncFaFVtpM8rCsJzDgecVMtkz4jpzBsszXjhqan9jScAhpkrU67AunxoKCayAU6WxWHHhrusr7GBcnPTSbefNPRi3Txbcnf496PCVp7DcETtzwdg5aH2CGaNiyG3kJCUnPC5Kk?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[< 오늘의 FREE TECHNOLOGY EBOOKS (PACKT) - Learning Data Mining with Python>]]></title><description><![CDATA[< 오늘의 FREE TECHNOLOGY EBOOKS (PACKT) - Learning Data Mining with Python> 1: Getting Started with Data Mining 2: Classifying with scikit-learn Estimators 3: Predicting Sports Winners with Decision]]></description><link>https://ecency.com/@statwith/free-technology-ebooks-packt-learning-data-mining-with-python</link><guid isPermaLink="true">https://ecency.com/@statwith/free-technology-ebooks-packt-learning-data-mining-with-python</guid><category><![CDATA[python]]></category><dc:creator><![CDATA[statwith]]></dc:creator><pubDate>Wed, 13 Jun 2018 09:39:18 GMT</pubDate></item><item><title><![CDATA[How to deploy a Machine Learning model on AWS Lambda]]></title><description><![CDATA[How to deploy a Machine Learning model on AWS Lambda In this tutorial, I’ll walk you through the deployment of a machine learning model on AWS Lambda. Our model will also be accessible through an API using]]></description><link>https://ecency.com/@franksup2/how-to-deploy-a-machine-learning-model-on-aws-lambda</link><guid isPermaLink="true">https://ecency.com/@franksup2/how-to-deploy-a-machine-learning-model-on-aws-lambda</guid><category><![CDATA[machine-learning]]></category><dc:creator><![CDATA[franksup2]]></dc:creator><pubDate>Thu, 20 Jul 2017 20:18:42 GMT</pubDate></item></channel></rss>