/home/leansigm/public_html/components/com_easyblog/services<title>The Art of Predictive Modelling </title>
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	<h1>The Art of Predictive Modelling </h1>
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			<span class="post-date">Mar 08</span>

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				Posted by <a href="/forum/user/1472-ashish-pahwa">Ashish Pahwa</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>Your perspective on data depends on the type of task you want to accomplish. They could be broadly specified as: Analytics : Helps you explore what happened and why.</p>
<p>Monitoring : Looking at things as they occur to find abnormalities.</p>
<p>Prediction : To predict what might happen in future.</p>
<p>Some of the most popular algorithms that can be applied to a predict future trends are :</p>
<p>The Ensemble Model : It uses multiple model output to arrive at a decision , however, one has to understand how to pick correct models and what problem does one want to solve. &nbsp;</p>
<p>Unsupervised Clustering Algorithms : These algorithms help to group similar people and objects together.</p>
<p>Regression Algorithms: &nbsp;These are used to predict future values of a product/service</p>
<p>There is no ideal formula to find the best suitable method for predictive analytics. A strong level of business expertise is required to master ‘art’ of predictive modelling. Read more at: <a title="http://www.analyticbridge.com/profiles/blogs/the-ultimate-guide-for-choosing-algorithms-for-predictive" href="http://www.analyticbridge.com/profiles/blogs/the-ultimate-guide-for-choosing-algorithms-for-predictive" target="_blank">http://www.analyticbridge.com/profiles/blogs/the-ultimate-guide-for-choosing-algorithms-for-predictive</a></p>
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		<a href="/blog/tags/predictive-modelling">
		<span itemprop="keywords">predictive modelling</span>
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		<a href="/blog/tags/unsupervised-clustering-algorithms">
		<span itemprop="keywords">Unsupervised Clustering Algorithms</span>
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		<a href="/blog/tags/ensemble-model">
		<span itemprop="keywords">Ensemble Model</span>
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