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0
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102.4 B
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1
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1.7 KB
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1 - Introduction.mp4
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MP4
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18.7 MB
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10 - Why to clean the data English.vtt
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VTT
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3.5 KB
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10 - Why to clean the data.mp4
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MP4
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20 MB
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11 - Data Quality English.vtt
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VTT
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9.2 KB
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11 - Data Quality.mp4
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MP4
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51.4 MB
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12 - Check if data is valid or not English.vtt
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VTT
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13.5 KB
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12 - Check if data is valid or not.mp4
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MP4
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51.9 MB
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13 - Check if data is accurate or not English.vtt
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VTT
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3.3 KB
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13 - Check if data is accurate or not.mp4
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MP4
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10.8 MB
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14 - Completeness of the data English.vtt
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VTT
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3.1 KB
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14 - Completeness of the data.mp4
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MP4
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11.2 MB
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15 - Consistency of the data English.vtt
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VTT
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4.1 KB
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15 - Consistency of the data.mp4
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MP4
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13.5 MB
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16 - Uniformity of the data English.vtt
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VTT
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6.7 KB
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16 - Uniformity of the data.mp4
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MP4
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25.2 MB
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17 - How to ensure data quality English.vtt
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VTT
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6 KB
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17 - How to ensure data quality.mp4
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MP4
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26.6 MB
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18 - Inspect the data English.vtt
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VTT
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2.4 KB
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18 - Inspect the data.mp4
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MP4
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11.2 MB
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19 - Cleaning the data English.vtt
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VTT
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14.3 KB
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19 - Cleaning the data.mp4
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MP4
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67.5 MB
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2 - Install anaconda on your machine English.vtt
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VTT
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12.3 KB
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2
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204.8 B
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2 - Install anaconda on your machine.mp4
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MP4
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69.1 MB
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3
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102.4 B
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4
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68.1 KB
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5
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227.1 KB
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6
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313.6 KB
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7
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447.3 KB
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8
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391.6 KB
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9
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75.6 KB
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10
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105.6 KB
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11
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55.3 KB
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12
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484.9 KB
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13
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646.4 KB
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14
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731 KB
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15
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734.8 KB
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16
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54.5 KB
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17
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901.8 KB
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18
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925.9 KB
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19
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745.4 KB
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20 - Goal of data munging English.vtt
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VTT
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7.9 KB
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20 - Goal of data munging.mp4
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MP4
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77.5 MB
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20
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672.3 KB
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21 - Understand your data English.vtt
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VTT
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8.5 KB
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21 - Understand your data.mp4
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MP4
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60.9 MB
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21
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826.7 KB
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22
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891 KB
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22 - Introduction to Outliers English.vtt
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VTT
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8.6 KB
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22 - Introduction to Outliers.mp4
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MP4
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45.1 MB
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23 - Finalize Data Munging English.vtt
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VTT
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13 KB
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23 - Finalize Data Munging.mp4
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MP4
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88.5 MB
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23
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774.6 KB
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24 - pandas-data-type-mismatch.ipynb
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IPYNB
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44.8 KB
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24
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853.8 KB
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24 - Handle data type mismatch English.vtt
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VTT
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27.3 KB
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24 - Handle data type mismatch.mp4
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MP4
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242.8 MB
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25 - Remove Duplicate data English.vtt
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VTT
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12.3 KB
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25 - Remove Duplicate data.mp4
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MP4
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89.9 MB
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25 - pandas-duplicate-data.ipynb
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IPYNB
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22.2 KB
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26
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101 KB
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26 - Handling missing data English.vtt
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VTT
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11.9 KB
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26 - Handling missing data.mp4
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MP4
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95.5 MB
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26 - pandas-missing-data.ipynb
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IPYNB
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22.4 KB
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27 - Feature Importance English.vtt
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VTT
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15.5 KB
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27 - Feature Importance.mp4
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MP4
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146.3 MB
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27 - Sklearn-Feature-Importance.ipynb
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IPYNB
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113.2 KB
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3 - Set up environment and Download Machine Learning Libraries English.vtt
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VTT
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16.7 KB
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3 - Set up environment and Download Machine Learning Libraries.mp4
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MP4
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80.5 MB
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27
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200.5 KB
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28
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655.9 KB
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28 - Plot feature importance plot English.vtt
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VTT
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6.4 KB
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28 - Plot feature importance plot.mp4
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MP4
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60.6 MB
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28 - Sklearn-Feature-Importance.ipynb
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IPYNB
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113.2 KB
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29
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696.5 KB
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29 - Introduction to Feature Importance English.vtt
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VTT
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10.7 KB
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29 - Introduction to Feature Importance.mp4
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MP4
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55.7 MB
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30 - min-max-scaler.ipynb
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IPYNB
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48.5 KB
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30
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897.9 KB
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30 - Data Normalization English.vtt
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VTT
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4.2 KB
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30 - Data Normalization.mp4
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MP4
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23 MB
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31 - Data Standardization English.vtt
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VTT
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10.8 KB
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31 - Data Standardization.mp4
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MP4
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48.3 MB
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31
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652.2 KB
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32 - Normalization in practice English.vtt
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VTT
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12.1 KB
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32 - Normalization in practice.mp4
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MP4
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125.2 MB
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32 - min-max-scaler.ipynb
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IPYNB
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48.5 KB
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32
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888.1 KB
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33 - Standardization in practice.mp4
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MP4
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138.1 MB
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33
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617.5 KB
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33 - Standardization in practice English.vtt
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VTT
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16.3 KB
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33 - standard-scaler.ipynb
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IPYNB
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38.1 KB
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34 - Introduction to One Hot Encoding English.vtt
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VTT
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12.5 KB
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34 - Introduction to One Hot Encoding.mp4
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MP4
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55.8 MB
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34
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272.5 KB
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34 - one-hot-encoding.ipynb
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IPYNB
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16.2 KB
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35
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990.5 KB
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35 - One Hot Encoding in practice English.vtt
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VTT
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15.2 KB
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35 - One Hot Encoding in practice.mp4
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MP4
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116.9 MB
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35 - one-hot-encoding.ipynb
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IPYNB
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16.2 KB
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36
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458.3 KB
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36 - Types of data in Machine Learning English.vtt
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VTT
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10.7 KB
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36 - Types of data in Machine Learning.mp4
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MP4
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31.6 MB
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37
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120.5 KB
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37 - Structured format for datasets English.vtt
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VTT
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10 KB
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37 - Structured format for datasets.mp4
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MP4
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69.6 MB
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38 - Introduction to pandas library English.vtt
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VTT
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32.6 KB
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38 - Introduction to pandas library.mp4
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MP4
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164.1 MB
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39 - Train Test split Concept English.vtt
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VTT
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18.9 KB
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39
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798.2 KB
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39 - Train Test split Concept.mp4
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MP4
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89.5 MB
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4 - Introduction to Jupyter Notebook English.vtt
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VTT
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27 KB
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4 - Introduction to Jupyter Notebook.mp4
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MP4
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111.4 MB
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38
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500 KB
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40 - Decision Tree part 1.mp4
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MP4
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140.1 MB
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40
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817.5 KB
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40 - Decision Tree part 1 English.vtt
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VTT
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37.2 KB
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41 - Decision Tree part 2 English.vtt
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VTT
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30.6 KB
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41 - Decision Tree part 2.mp4
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MP4
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116.8 MB
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41
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63.6 KB
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42
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549.3 KB
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42 - Code Decision Tree classifier English.vtt
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VTT
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34.7 KB
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42 - Code Decision Tree classifier.mp4
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MP4
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235.5 MB
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42 - Decision-Tree-Classifier.ipynb
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IPYNB
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28.6 KB
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43 - Decision Tree GINI index English.vtt
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VTT
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12.8 KB
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43 - Decision-Tree-Classifier.ipynb
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IPYNB
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28.6 KB
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43
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550.4 KB
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43 - Decision Tree GINI index.mp4
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MP4
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95.2 MB
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44
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890 KB
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44 - Introduction to Linear Regression English.vtt
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VTT
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18.5 KB
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44 - Introduction to Linear Regression.mp4
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MP4
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156.4 MB
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45 - Learn about OLS [Ordinary Least Squares] algorithm English.vtt
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VTT
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34.1 KB
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45 - Learn about OLS [Ordinary Least Squares] algorithm.mp4
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MP4
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246.8 MB
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46 - Introduction to working of Linear Regression English.vtt
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VTT
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40.6 KB
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46 - Introduction to working of Linear Regression.mp4
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MP4
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194.6 MB
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47 - Lecture Introduction to MSE, MAE, RMSE.mp4
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MP4
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57 MB
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5 - Data Science Methodologies English.vtt
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VTT
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9.3 KB
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5 - Data Science Methodologies.mp4
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MP4
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51.2 MB
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45
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32.4 KB
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46
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509.3 KB
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47
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501.5 KB
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47 - Lecture Introduction to MSE, MAE, RMSE English.vtt
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VTT
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14.8 KB
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48 - Introduction to R squared English.vtt
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VTT
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12.8 KB
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48
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831.4 KB
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48 - Introduction to R squared.mp4
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MP4
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49.4 MB
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49 - Implement Simple Linear Regression English.vtt
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VTT
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28.7 KB
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49 - Implement Simple Linear Regression.mp4
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MP4
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168.9 MB
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49 - linear-regression-guide.zip
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ZIP
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86.7 KB
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49
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519.4 KB
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50
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371.3 KB
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50 - Learn about Logistic Regression English.vtt
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VTT
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7.3 KB
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50 - Learn about Logistic Regression.mp4
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MP4
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38.3 MB
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51 - Learn about Gradient Descent English.vtt
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VTT
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7.5 KB
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51
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730.7 KB
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51 - Learn about Gradient Descent.mp4
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MP4
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45.3 MB
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52 - Implement Logistic Regression part 1 English.vtt
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VTT
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25.3 KB
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52 - Implement Logistic Regression part 1.mp4
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MP4
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145.3 MB
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52 - logistic.zip
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ZIP
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143.3 KB
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53 - Implement Logistic Regression part 2 English.vtt
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VTT
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38.8 KB
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53 - Implement Logistic Regression part 2.mp4
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MP4
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200.7 MB
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53 - logistic.zip
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ZIP
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143.3 KB
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6 - CRISP-DM model.mp4
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MP4
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42.9 MB
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52
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967.8 KB
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54 - Introduction to data and data dictionary English.vtt
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VTT
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2.8 KB
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54
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531.6 KB
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54 - Introduction to data and data dictionary.mp4
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MP4
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31.2 MB
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54 - Project-1.zip
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ZIP
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2.3 MB
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55 - Project-1.zip
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ZIP
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2.3 MB
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55 - Setup project and import libraries.mp4
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MP4
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14.5 MB
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6 - CRISP English.vtt
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VTT
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6.9 KB
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53
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765.6 KB
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55
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102 KB
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55 - Setup project and import libraries English.vtt
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VTT
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3.2 KB
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56
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570 KB
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56 - Import data to the project English.vtt
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VTT
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2.5 KB
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56 - Import data to the project.mp4
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MP4
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17.6 MB
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57 - Clean NA values English.vtt
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VTT
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10.6 KB
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57
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115.9 KB
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57 - Clean NA values.mp4
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MP4
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98.6 MB
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58 - Clean your data English.vtt
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VTT
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14.5 KB
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58
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401.4 KB
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58 - Clean your data.mp4
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MP4
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116.3 MB
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59
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39.4 KB
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59 - Analysis 1 Where do the guest come from English.vtt
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VTT
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14.1 KB
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59 - Analysis 1 Where do the guest come from.mp4
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MP4
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95.2 MB
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60 - Analysis 2 How much do guests pay for room per night English.vtt
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VTT
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14.8 KB
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60 - Analysis 2 How much do guests pay for room per night.mp4
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MP4
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112.1 MB
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60
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221 KB
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61 - Analysis 3 How does the price vary English.vtt
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VTT
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19 KB
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61 - Analysis 3 How does the price vary.mp4
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MP4
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134.3 MB
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61
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318 KB
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62 - Sorting English.vtt
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VTT
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14.9 KB
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62 - Sorting.mp4
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MP4
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97.9 MB
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62
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510.8 KB
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63 - Analysis 4 Which months are busy months English.vtt
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VTT
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15.9 KB
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63 - Analysis 4 Which months are busy months.mp4
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MP4
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108.1 MB
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63
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95.4 KB
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64
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564.9 KB
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64 - Analysis 5 How long do people stay at the hotels English.vtt
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VTT
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19.4 KB
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64 - Analysis 5 How long do people stay at the hotels.mp4
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MP4
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132.2 MB
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65 - Feature selection using coorelation English.vtt
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VTT
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16 KB
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65 - Feature selection using coorelation.mp4
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MP4
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127.2 MB
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65
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805 KB
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66 - Refine Numerical attributes English.vtt
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VTT
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8.7 KB
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66
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586.2 KB
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66 - Refine Numerical attributes.mp4
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MP4
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68.3 MB
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67 - Refine Categorical attributes English.vtt
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VTT
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10.8 KB
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67
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721.8 KB
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67 - Refine Categorical attributes.mp4
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MP4
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99 MB
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68
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691.6 KB
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68 - Augment the data English.vtt
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VTT
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8.9 KB
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68 - Augment the data.mp4
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MP4
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63.9 MB
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69 - Mean Encoding for Categorical attributes English.vtt
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VTT
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26.4 KB
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69 - Mean Encoding for Categorical attributes.mp4
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MP4
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206.8 MB
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7 - Phases of CRISP English.vtt
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VTT
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4.4 KB
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7 - Phases of CRISP-DM.mp4
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MP4
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26.6 MB
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70 - Preparing our data English.vtt
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VTT
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16.1 KB
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70 - Preparing our data.mp4
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MP4
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102.7 MB
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71 - Feature Importance English.vtt
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VTT
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16.4 KB
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71 - Feature Importance.mp4
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MP4
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137.3 MB
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72 - Splitting data and Building models English.vtt
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VTT
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27 KB
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72 - Splitting data and Building models.mp4
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MP4
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187.6 MB
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73 - Loading the data to the project English.vtt
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VTT
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12.8 KB
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73 - Loading the data to the project.mp4
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MP4
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117 MB
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73 - Project-2.zip
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ZIP
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853.8 KB
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74 - Introduction to Corpus and Term Document Matrix English.vtt
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VTT
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7.7 KB
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74 - Introduction to Corpus and Term Document Matrix.mp4
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MP4
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44.3 MB
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74 - Project-2.zip
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ZIP
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853.8 KB
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75 - Storing data into the data frame English.vtt
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VTT
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8.5 KB
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75 - Storing data into the data frame.mp4
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MP4
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78.2 MB
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76 - Cleaning the data.mp4
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MP4
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245.4 MB
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77 - Creating Document Term Matrix English.vtt
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VTT
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8.9 KB
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78 - Analyzing most commonly spoken words English.vtt
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VTT
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15.1 KB
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78 - Analyzing most commonly spoken words.mp4
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MP4
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141.9 MB
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79 - Creating wordcloud English.vtt
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VTT
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23 KB
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79 - Creating wordcloud.mp4
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MP4
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207.3 MB
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8 - Phases of CRISP English.vtt
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VTT
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3.3 KB
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8 - Phases of CRISP-DM part 2.mp4
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MP4
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17.4 MB
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80 - Profanity English.vtt
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VTT
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12.8 KB
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80 - Profanity.mp4
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MP4
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81.5 MB
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81 - Sentimental Analysis English.vtt
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VTT
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6 KB
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81 - Sentimental Analysis.mp4
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37.8 MB
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82 - Sentiment Label English.vtt
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82 - Sentiment Label.mp4
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69.3 MB
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83 - Plotting Polarity and Subjectivity English.vtt
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83 - Plotting Polarity and Subjectivity.mp4
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53.5 MB
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84 - Topic Modeling English.vtt
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14.5 KB
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84 - Topic Modeling.mp4
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MP4
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128.1 MB
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85 - Topic Modeling Part Of Speech Tagging English.vtt
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85 - Topic Modeling Part Of Speech Tagging.mp4
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104.4 MB
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86 - Text Generation English.vtt
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6 KB
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86 - Text Generation.mp4
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36.1 MB
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87 - Text Generation Part 2.mp4
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86.1 MB
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88 - Introduction to Neural Networks English.vtt
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3.2 KB
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88 - Introduction to Neural Networks.mp4
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24.2 MB
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89 - Neuron English.vtt
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29.4 KB
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89 - Neuron.mp4
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116.4 MB
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9 - Phases of CRISP English.vtt
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9 - Phases of CRISP-DM part 3.mp4
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39.7 MB
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90 - Learn to create MLP model English.vtt
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90 - Learn to create MLP model.mp4
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156.5 MB
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91 - Multi English.vtt
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91 - Multi-Layer Perception Algorithm part 2.mp4
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166.1 MB
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92 - Multi English.vtt
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92 - Multi-Layer Perception Algorithm part 3.mp4
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61.4 MB
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93 - Multi English.vtt
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13.3 KB
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93 - Multi-Layer Perception Algorithm part 4.mp4
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86 MB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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614.4 B
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