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	<title>artificalintelligence | JUST KINDLE BOOKS</title>
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		<title>Ultimate Step by Step Guide to Machine Learning Using Python</title>
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					<description><![CDATA[Start your Data Science career using Python today! Are you ready to start your new exciting career? Ready to crush your machine learning career goals? Are you overwhelmed with the complexity of the books on this subject? Then let this breezy and fun little book on Python and machine learning models make you a data [&#8230;]]]></description>
										<content:encoded><![CDATA[<p style="font-size:14px"><a rel="nofollow" href="https://www.amazon.com/dp/B084WGCMG1/?tag="><img fetchpriority="high" decoding="async" class="aligncenter wp-image-5256 size-full" src="https://www.justkindlebooks.com/wp-content/uploads/2020/02/1582075926_41Sgkz1rNSL.jpg" alt="Ultimate Step by Step Daneyal Anis" width="190" height="280" /></a></p>
<p style="font-size:14px">Start your Data Science career using Python today!<br />
Are you ready to start your new exciting career? Ready to crush your machine learning career goals?</p>
<p style="font-size:14px">Are you overwhelmed with the complexity of the books on this subject?</p>
<p style="font-size:14px">Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days!</p>
<p style="font-size:14px">The first part of this book introduces Python basics including:<br />
• Data Structures like Pandas<br />
• Foundational libraries like Numpy, Seaborn and Scikit-Learn</p>
<p style="font-size:14px">The second part of this book shows you how to build predictive machine learning models step by step using techniques such as:<br />
• Regression analysis<br />
• Decision tree analysis<br />
• Training and testing data models<br />
• And much more!</p>
<p style="font-size:14px">After reading this book you will be able to:<br />
• Code in Python with confidence<br />
• Build new machine learning models from scratch<br />
• Know how to clean and prepare your data for analytics<br />
• Speak confidently about statistical analysis techniques <strong>$</strong><b>0.99 on Kindle.</b><br />
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