FreeTutorials Us data science and machine learning bootcamp with |
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[FreeTutorials.Us] data-science-and-machine-learning-bootcamp-with-r |
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Total Size |
3.1 GB |
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Total Files |
133 |
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Hash |
B41979B7F3E11A76A81058FC1398AA7555E09E11 |
/01 Course Introduction/ |
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18.2 MB |
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7.0 MB |
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8.2 MB |
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1.6 KB |
/.../004 Course FAQ/ |
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47.8 MB |
/02 Course Best Practices/ |
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2.3 KB |
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0.6 KB |
/quizzes/ |
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2.7 KB |
/03 Windows Installation Set-Up/ |
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25.7 MB |
/04 Mac OS Installation Set-Up/ |
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74.9 MB |
/05 Linux Installation/ |
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1.8 KB |
/06 Development Environment Overview/ |
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1.2 MB |
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32.6 MB |
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36.8 MB |
/.../011 Course Notes/ |
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47.8 MB |
/07 Introduction to R Basics/ |
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6.8 MB |
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8.9 MB |
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10.4 MB |
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10.4 MB |
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16.0 MB |
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8.8 MB |
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18.8 MB |
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7.1 MB |
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12.4 MB |
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6.8 MB |
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15.5 MB |
/08 R Matrices/ |
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1.7 MB |
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22.3 MB |
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9.3 MB |
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13.5 MB |
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14.0 MB |
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17.8 MB |
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4.0 MB |
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29.5 MB |
/09 R Data Frames/ |
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1.6 MB |
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22.5 MB |
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19.9 MB |
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36.3 MB |
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40.8 MB |
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5.2 MB |
038 Data Frame Training Exercises - Solutions Walkthrough.mp4 |
35.7 MB |
/10 R Lists/ |
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23.0 MB |
/11 Data Input and Output with R/ |
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1.1 MB |
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14.7 MB |
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29.0 MB |
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35.1 MB |
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23.9 MB |
/12 R Programming Basics/ |
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2.0 MB |
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17.0 MB |
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30.6 MB |
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4.6 MB |
049 Conditional Statements Training Exercise - Solutions Walkthrough.mp4 |
25.4 MB |
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14.2 MB |
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27.8 MB |
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42.6 MB |
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9.0 MB |
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45.5 MB |
/13 Advanced R Programming/ |
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1.9 MB |
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21.4 MB |
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32.9 MB |
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13.6 MB |
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11.6 MB |
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29.2 MB |
/14 Data Manipulation with R/ |
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1.3 MB |
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30.9 MB |
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25.3 MB |
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17.4 MB |
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0.6 KB |
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3.2 MB |
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16.4 MB |
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60.5 MB |
/15 Data Visualization with R/ |
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14.0 MB |
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59.7 MB |
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47.4 MB |
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20.9 MB |
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17.5 MB |
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25.9 MB |
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29.4 MB |
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14.0 MB |
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8.7 MB |
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32.0 MB |
/16 Data Visualization Project/ |
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16.0 MB |
080 Data Visualization Project - Solutions Walkthrough - Part 1.mp4 |
44.0 MB |
081 Data Visualization Project Solutions Walkthrough - Part 2.mp4 |
43.5 MB |
/17 Interactive Visualizations with Plotly/ |
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44.6 MB |
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1.3 KB |
/18 Capstone Data Project/ |
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47.7 MB |
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66.4 MB |
/19 Introduction to Machine Learning with R/ |
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0.7 KB |
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62.6 MB |
/.../087 Introduction to Machine Learning/ |
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3.0 MB |
/20 Machine Learning with R - Linear Regression/ |
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12.1 MB |
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58.3 MB |
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56.6 MB |
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27.6 MB |
/21 Machine Learning Project - Linear Regression/ |
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48.8 MB |
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62.4 MB |
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34.3 MB |
/22 Machine Learning with R - Logistic Regression/ |
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23.0 MB |
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48.6 MB |
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49.9 MB |
/23 Machine Learning Project - Logistic Regression/ |
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14.0 MB |
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59.0 MB |
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40.5 MB |
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39.5 MB |
/24 Machine Learning with R - K Nearest Neighbors/ |
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9.7 MB |
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49.0 MB |
/25 Machine Learning Project - K Nearest Neighbors/ |
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15.4 MB |
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31.9 MB |
/26 Machine Learning with R - Decision Trees and Random Forests/ |
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13.1 MB |
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36.1 MB |
/27 Machine Learning Project - Decision Trees and Random Forests/ |
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108 Introduction to Decision Trees and Random Forests Project.mp4 |
10.6 MB |
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40.7 MB |
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11.0 MB |
/28 Machine Learning with R - Support Vector Machines/ |
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9.4 MB |
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41.5 MB |
/29 Machine Learning Project - Support Vector Machines/ |
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12.1 MB |
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29.9 MB |
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25.5 MB |
/30 Machine Learning with R - K-means Clustering/ |
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10.0 MB |
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23.6 MB |
/31 Machine Learning Project - K-means Clustering/ |
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9.2 MB |
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40.1 MB |
/32 Machine Learning with R - Natural Language Processing/ |
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8.7 MB |
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13.2 MB |
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44.9 MB |
/33 Machine Learning with R - Neural Nets/ |
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13.3 MB |
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57.4 MB |
/34 Machine Learning Project - Neural Nets/ |
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11.6 MB |
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26.8 MB |
/35 Bonus Section - Discounts for Other Courses/ |
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1.7 KB |
/ |
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0.1 KB |
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0.1 KB |
Total files 133 |
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