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-  <img data-ytimg="1" width="20" src="/yts/img/pixel-vfl3z5WfW.gif" alt="" onload=";window.__ytRIL &amp;&amp; __ytRIL(this)" height="20" aria-hidden="true" data-thumb="https://yt3.ggpht.com/a/AGF-l7-_-b5OC14l78t-7-qdeVnkwlgz8wPO8IYcFA=s20-c-k-c0xffffffff-no-rj-mo" >
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-
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-
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-  <a class="guide-item yt-uix-sessionlink yt-valign spf-link    "
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-    <span class="yt-valign-container">
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-        
-  <img data-ytimg="1" width="20" src="/yts/img/pixel-vfl3z5WfW.gif" alt="" onload=";window.__ytRIL &amp;&amp; __ytRIL(this)" height="20" aria-hidden="true" data-thumb="//yt3.ggpht.com/pHLowADq7zoIZBtCvFl5Hxdfg6DocNw_i9SAkHotI68YQkLs2tPdIOLCgQqXmX12wUHO5arobg=s20-c-k-c0xffffffff-no-nd-rj" >
-
-        <span class="vertical-align"></span>
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-        <span class="display-name  no-count">
-          <span>
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-
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-
-            
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-  <img data-ytimg="1" width="20" src="/yts/img/pixel-vfl3z5WfW.gif" alt="" onload=";window.__ytRIL &amp;&amp; __ytRIL(this)" height="20" aria-hidden="true" data-thumb="//yt3.ggpht.com/5HkUAx2SOolanKFGX7Au5O84m4XbzvjpxXowcw2EYjbZmUObb_MzjZiiSDfy3z9ImpC0PCuZIB_dlPnEqQ=s20-c-k-c0xffffffff-no-nd-rj" >
-
-        <span class="vertical-align"></span>
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-        <span class="display-name  no-count">
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-
-  </li>
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- data-visibility-tracking="CAYQtSwYByITCIO2pp-pn-cCFZKDxAod8EsDMA==" role="menuitem">
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-        
-  <img data-ytimg="1" width="20" src="/yts/img/pixel-vfl3z5WfW.gif" alt="" onload=";window.__ytRIL &amp;&amp; __ytRIL(this)" height="20" aria-hidden="true" data-thumb="//yt3.ggpht.com/_zQ9Ae7wpuzEL-CR-7flXBUnX11MRLaZUdTfDOXHNAFqv4XsoPrXNQFATdX0DNXAfqsIP3Jg=s20-c-k-c0xffffffff-no-nd-rj" >
-
-        <span class="vertical-align"></span>
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-        <span class="display-name  no-count">
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-
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-        
-  <img data-ytimg="1" width="20" src="/yts/img/pixel-vfl3z5WfW.gif" alt="" onload=";window.__ytRIL &amp;&amp; __ytRIL(this)" height="20" aria-hidden="true" data-thumb="https://yt3.ggpht.com/a/AGF-l79Dpy9yGG-j3hTwtQiN3iXRVaC0UHu2cgSUvQ=s20-c-k-c0xffffffff-no-rj-mo" >
-
-        <span class="vertical-align"></span>
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-
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-
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-        <span class="vertical-align"></span>
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-
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-
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-
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-
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-
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-
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-
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-</div><div class="up-next-item-container hid"></div></div></div></div>  <div class="hid">
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-Watch Queue
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-
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-
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-
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-
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- - - - -	- - Python Machine Learning Tutorial #1 - Introduction - - -by Tech With Tim - - - - -	11:21 -
- - - - -	- - Python Machine Learning Tutorial #2 - Linear Regression p.1 - - -by Tech With Tim - - - - -	14:48 -
- - - - -	- - Python Machine Learning Tutorial #3 - Linear Regression p.2 - - -by Tech With Tim - - - - -	16:59 -
- - - - -	- - Python Machine Learning Tutorial #4 - Saving Models & Plotting Data - - -by Tech With Tim - - - - -	13:36 -
- - - - -	- - Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data - - -by Tech With Tim - - - - -	12:48 -
- - - - -	- - Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work? - - -by Tech With Tim - - - - -	13:39 -
- - - - -	- - Python Machine Learning Tutorial #7 - KNN p.3 - Implementation - - -by Tech With Tim - - - - -	11:03 -
- - - - -	- - Python Machine Learning Tutorial #8 - Using Sklearn Datasets - - -by Tech With Tim - - - - -	7:14 -
- - - - -	- - Python Machine Learning Tutorial #9 - SVM P.2 - How Support Vector Machines Work - - -by Tech With Tim - - - - -	14:14 -
- - - - -	- - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM - - -by Tech With Tim - - - - -	9:58 -
- - - - -	- - Python Machine Learning Tutorial #11 - How K Means Clustering Works - - -by Tech With Tim - - - - -	13:47 -
- - - - -	- - Python Machine Learning Tutorial #12 - Implementing K-Means Clustering - - -by Tech With Tim - - - - -	12:27 -