<?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[Sai's Data Website]]></title><description><![CDATA[Sai's Data Website]]></description><link>https://www.saigeetha.in/blog</link><generator>RSS for Node</generator><lastBuildDate>Wed, 10 Jun 2026 02:11:36 GMT</lastBuildDate><atom:link href="https://www.saigeetha.in/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Decision Trees through an Example]]></title><description><![CDATA[We have so far seen what decision trees are, why we need them, what are certain measures that help in creating a decision tree and how...]]></description><link>https://www.saigeetha.in/post/decision-trees-through-an-example</link><guid isPermaLink="false">6367daf84b28c19d233124be</guid><category><![CDATA[Data Science]]></category><pubDate>Mon, 07 Nov 2022 16:06:07 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_49505306e8ab4d7bbc8454a37d3b2a49~mv2.png/v1/fit/w_601,h_465,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Decision Trees - Feature Selection for a Split]]></title><description><![CDATA[In the previous two articles "Decision Trees- How to decide the split?" and "Decision Trees - Homogeneity Measures", I have laid the...]]></description><link>https://www.saigeetha.in/post/decision-trees-feature-selection-for-a-split</link><guid isPermaLink="false">62fc7ee287e163d79c5b308a</guid><category><![CDATA[Data Science]]></category><pubDate>Sat, 17 Sep 2022 06:12:24 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_870d30e4087e451ab8b6770801ddf7d9~mv2.png/v1/fit/w_1000,h_502,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Decision Trees - Homogeneity Measures]]></title><description><![CDATA[Having had an introduction to what is homogeneity and what are the 3 basic types of measures that can be used in the previous article on...]]></description><link>https://www.saigeetha.in/post/decision-trees-homogeneity-measures</link><guid isPermaLink="false">62fc6dd239e901d5201c515d</guid><category><![CDATA[Data Science]]></category><pubDate>Sun, 04 Sep 2022 06:32:31 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_181ff16c8f624636a0c4e46923e94e2e~mv2.png/v1/fit/w_249,h_112,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Decision Trees - How to decide the split?]]></title><description><![CDATA[In the introduction to Decision trees, we have seen that the whole process is to keep splitting one node into two based on certain...]]></description><link>https://www.saigeetha.in/post/decision-trees-how-to-decide-the-split</link><guid isPermaLink="false">62fb81b10097ac1e7e7db438</guid><category><![CDATA[Data Science]]></category><pubDate>Tue, 16 Aug 2022 16:12:55 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_2e8b911c08114174a3bc9dd3cb3ece92~mv2.png/v1/fit/w_261,h_137,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Why Decision Trees?]]></title><description><![CDATA[As we saw in the last article introducing Decision Trees, decision trees can be used for classification or regression. But the same can...]]></description><link>https://www.saigeetha.in/post/why-decision-trees</link><guid isPermaLink="false">62dbc0e0f71f4fd94947ea02</guid><category><![CDATA[Data Science]]></category><pubDate>Sat, 30 Jul 2022 06:48:39 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_e250e3c15ca74a7ca5419ab9aa7cffb3~mv2.png/v1/fit/w_1000,h_896,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Decision Trees - An Introduction]]></title><description><![CDATA[Decision trees are an algorithm class that form the foundation for Random Forests, a class of algorithms that is extensively used in...]]></description><link>https://www.saigeetha.in/post/decision-trees-an-introduction</link><guid isPermaLink="false">62d935145b74452643c4eab1</guid><category><![CDATA[Data Science]]></category><pubDate>Sat, 23 Jul 2022 09:23:15 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_df738830253f4a5097d2213e74e9fa93~mv2.png/v1/fit/w_1000,h_842,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Hierarchical Clustering Through an Example]]></title><description><![CDATA[I have taken a problem statement of an NGO wanting to find the top 5-10 countries from a list of 169 who are in dire need of aid, in the...]]></description><link>https://www.saigeetha.in/post/hierarchical-clustering-through-an-example</link><guid isPermaLink="false">61e41517b8cf6c001790ef78</guid><category><![CDATA[Data Science]]></category><pubDate>Sun, 23 Jan 2022 10:23:34 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_93f65653327d4025b73b9bdb8347629a~mv2.png/v1/fit/w_904,h_591,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Hierarchical Clustering - Types of Linkages]]></title><description><![CDATA[We have seen in the previous post about Hierarchical Clustering, when it is used and why. We glossed over the criteria for creating...]]></description><link>https://www.saigeetha.in/post/hierarchical-clustering-types-of-linkages</link><guid isPermaLink="false">61e3b4a8b66a9500164f00d4</guid><category><![CDATA[Data Science]]></category><pubDate>Sun, 16 Jan 2022 09:11:24 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_e2ab0199dd724452b2245add4d6960f4~mv2.png/v1/fit/w_362,h_251,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Hierarchical Clustering: A Deep Dive]]></title><description><![CDATA[In the last five blog posts, I have discussed the basics of Clustering and then, K-Means clustering in detail. In my "Introduction to...]]></description><link>https://www.saigeetha.in/post/hierarchical-clustering-a-deep-dive</link><guid isPermaLink="false">61a070de1e26bb0016c6d79d</guid><category><![CDATA[Data Science]]></category><pubDate>Fri, 26 Nov 2021 14:00:55 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_a57fc0f056b240fd82b45ccb62145fd0~mv2.png/v1/fit/w_362,h_251,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[K-Means Clustering through An Example]]></title><description><![CDATA[Now that we have understood the basics of K-Means Clustering, let us dive a little deeper today. Let us look at one practical problem and...]]></description><link>https://www.saigeetha.in/post/k-means-clustering-through-an-example</link><guid isPermaLink="false">6160399c33a82000175eea2a</guid><category><![CDATA[Data Science]]></category><pubDate>Thu, 04 Nov 2021 16:27:47 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_39ee9ad9716b438b97df64113d3c1d9d~mv2.png/v1/fit/w_904,h_591,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Steps towards Data Science or Machine Learning Models]]></title><description><![CDATA[Having completed the basics of K-Means clustering in the last 3 weeks, I was tempted to take you through an example problem through code....]]></description><link>https://www.saigeetha.in/post/steps-towards-data-science-or-machine-learning-models</link><guid isPermaLink="false">6167fe29ed09b200160f0bef</guid><category><![CDATA[Data Science]]></category><pubDate>Thu, 21 Oct 2021 14:15:48 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_470470a8073647d89aeca4eada3fb7a9~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[K-Means Clustering: Part 3 of 3]]></title><description><![CDATA[Theoretically and mathematically, we have understood a great deal about K-Means Clustering through Part 1 and Part 2 of this series. If...]]></description><link>https://www.saigeetha.in/post/k-means-clustering-part-3-of-3</link><guid isPermaLink="false">614b4aa73a59da00164c7edf</guid><category><![CDATA[Data Science]]></category><pubDate>Fri, 08 Oct 2021 12:22:41 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_3bb83f8d3e284ed49c09b473dda9ae87~mv2.jpg/v1/fit/w_744,h_487,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[K-Means Clustering: Part 2 of 3]]></title><description><![CDATA[Last week, we looked at the basic understanding of how K-Means Clustering works through the 5-step process where the two steps of...]]></description><link>https://www.saigeetha.in/post/k-means-clustering-part-2-of-3</link><guid isPermaLink="false">614b4a83df64a6001646929e</guid><category><![CDATA[Data Science]]></category><pubDate>Fri, 01 Oct 2021 14:03:06 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_59000532c7bb4d189223b67a642db2d1~mv2.png/v1/fit/w_606,h_124,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[K-Means Clustering: Part 1 of 3]]></title><description><![CDATA[Having looked at Clustering in general and also having heard that K-Means is one of the simplest and most popular clustering algorithms,...]]></description><link>https://www.saigeetha.in/post/k-means-clustering-part-1-of-3</link><guid isPermaLink="false">6139a388d6c4c5001638ea78</guid><category><![CDATA[Data Science]]></category><pubDate>Thu, 23 Sep 2021 15:48:12 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_14419983e10e44f68315ccee43ff8ab8~mv2.png/v1/fit/w_844,h_462,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Introduction to Clustering Algorithms]]></title><description><![CDATA[As mentioned in one of my introductory articles on "Machine Learning Algorithms Categories", Clustering Algorithms are a set of...]]></description><link>https://www.saigeetha.in/post/introduction-to-clustering-algorithms</link><guid isPermaLink="false">6138882ec5c0b00016ceaae9</guid><category><![CDATA[Data Science]]></category><pubDate>Thu, 16 Sep 2021 16:10:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_8baee0de1d3e43769a79c1b1a4e1879c~mv2.png/v1/fit/w_421,h_270,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[When can you use Linear Regression?]]></title><description><![CDATA[It's been a while since my last post, as I was caught up with a couple of talking engagements - one at a university for engineering...]]></description><link>https://www.saigeetha.in/post/when-can-you-use-linear-regression</link><guid isPermaLink="false">612c7582b998fe001699bde4</guid><category><![CDATA[Data Science]]></category><pubDate>Thu, 09 Sep 2021 15:51:13 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_acc92794b62a4042b8c2d5b6fe6c95ea~mv2.png/v1/fit/w_583,h_361,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Prediction Vs Forecasting in Supervised Learning]]></title><description><![CDATA[In supervised learning and especially in the context of Linear regression, we often use these two terms: Prediction and Forecast. We also...]]></description><link>https://www.saigeetha.in/post/prediction-vs-forecasting-in-supervised-learning</link><guid isPermaLink="false">6107d82fd04ce50015b6aebc</guid><category><![CDATA[Data Science]]></category><pubDate>Tue, 03 Aug 2021 11:27:03 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_205c28aa6b2046faa417f340b7bc4809~mv2.png/v1/fit/w_1000,h_710,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Feature Selection in Machine Learning]]></title><description><![CDATA[Selecting the right features that contribute to your model is an art and a science. I call it art because much pain can be saved if you...]]></description><link>https://www.saigeetha.in/post/feature-selection-in-machine-learning</link><guid isPermaLink="false">60ee6fdeefe14300152f5afd</guid><category><![CDATA[Data Science]]></category><pubDate>Mon, 19 Jul 2021 12:01:56 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_d7cfd70f5ab2433ea51644f606aeb727~mv2.png/v1/fit/w_921,h_651,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Machine Learning - Rendezvous Architecture]]></title><description><![CDATA[The Rendezvous architecture proposed by Ted Dunning and Ellen Friedman in their book on Machine Learning Logistics was a wonderful...]]></description><link>https://www.saigeetha.in/post/machine-learning-rendezvous-architecture</link><guid isPermaLink="false">60e6cf6bb9f6f20015f7807d</guid><category><![CDATA[Big Data Engineering]]></category><category><![CDATA[Data Science]]></category><pubDate>Thu, 08 Jul 2021 17:01:42 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_4bb41319e7bb4442b5f5ff2bb041d5ec~mv2.png/v1/fit/w_1000,h_476,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item><item><title><![CDATA[Big Data Architecture for Machine Learning]]></title><description><![CDATA[Machine Learning by itself is a branch of Artificial Intelligence that has a large variety of algorithms and applications. One of my...]]></description><link>https://www.saigeetha.in/post/big-data-architecture-for-machine-learning</link><guid isPermaLink="false">60d952fe5a201f001537ffdc</guid><category><![CDATA[Big Data Engineering]]></category><category><![CDATA[Data Science]]></category><pubDate>Thu, 01 Jul 2021 16:42:23 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/3c4873_ef537375e6ac4b8bbc2298175db22af7~mv2.png/v1/fit/w_1000,h_872,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Sai Geetha M N</dc:creator></item></channel></rss>