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Getting Started
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2 Section Introduction
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3 Supervised and Unsupervised Learning
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4 Semi-Supervised Learning
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5 Section Summary
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6 Section Introduction
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7 Installing the Environment
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8 ello World
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9 Installing Aaconda and Deep Learning Libraries
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10 Email Spam Checker - Part 1
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11 Email Spam Checker - Part 2
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12 Email Spam Checker Results
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13 Iris 70-30 - Part 1
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14 Iris 70-30 - Part 2
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15 Section Summary
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16 Section Introduction
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17 Data Analysis - Example 1
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18 Data Analysis - Example 2
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19 Data Visualization
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20 Section Summary
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21 Section Introduction
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22 Parametric Algorithms
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23 Linear Algebra
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24 Linear Regression Calculation - Part 1
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25 Linear Regression Calculation - Part 2
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26 Regression on Larger Dataset - Part 1
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28 Regression on Larger Dataset - Part 2
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30 Regression on Larger Dataset - Part 3
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31 Section Summary
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32 Section Introduction
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33 Natural Language Processing - Part 1
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35 Natural Language Processing - Part 2
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36 Processing Unique Words
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36 Tokenizing Content
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37 Summarizing Headlines - Part 1
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38 Summarizing Headlines - Part 2
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40 Section Summary
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41 Section Introduction
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42 Cluster Introduction
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44 EM and M Clustering
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45 Clustering Code Walkthrough
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46 Clustering Iris Data - Part 1
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47 Clustering Iris Data - Part 2
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47 Clustering Iris Data - Part 3
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49 Section Summary
Preview - Machine learning with python
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