Unleash The Power of PyCaret for Marketing Analytics

Files Included :

1 - Welcome to the Course.mp4 (34.76 MB)
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2 - Overview of Sectorspecific Use Cases.mp4 (33.91 MB)
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3 - How can you get the most out of this course.mp4 (27.44 MB)
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4 - What is RFM analysis.mp4 (56.43 MB)
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6 - RFM Example.mp4 (133.45 MB)
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10 - Explore the dataset.mp4 (48.29 MB)
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11 - Step 1 PyCaret Setup Function.mp4 (34.79 MB)
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12 - Step 2 CreateModel Function.mp4 (46.55 MB)
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14 - Step 3 Assign Model.mp4 (21.51 MB)
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15 - Step 4 Plot Model.mp4 (52.88 MB)
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8 - PyCaret Clustering Module Workflow.mp4 (11.18 MB)
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9 - Install PyCaret then Load the Dataset.mp4 (29.18 MB)
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17 - What is Sentiment Analysis.mp4 (39.25 MB)
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19 - Sentiment Analysis with Textblob Financial News Dataset.mp4 (201.27 MB)
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20 - Vader Sentiment Analysis.mp4 (59.96 MB)
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21 - Text 2 Emotion.mp4 (36.99 MB)
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22 - Overview of Anomaly Detection.mp4 (15.77 MB)
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23 - Types of Anomalies.mp4 (39.18 MB)
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24 - Project 1 Social Media Monitoring Example.mp4 (211.89 MB)
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25 - Intuition behind Topic Modelling.mp4 (19.68 MB)
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26 - How LDA works.mp4 (30.37 MB)
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27 - Topic coherence Evaluating the results of topic modelling.mp4 (19.39 MB)
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28 - Load the dataset.mp4 (78.63 MB)
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29 - Why the Setup Function is Vital.mp4 (42.78 MB)
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30 - Step One Setup Function.mp4 (71.54 MB)
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31 - Step Two Create Function.mp4 (26.47 MB)
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32 - Step Three Assign Function.mp4 (40.39 MB)
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33 - Step Four Plot Model Function.mp4 (24.23 MB)
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34 - Step Five Evaluate Function.mp4 (45 MB)
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35 - Save Model.mp4 (5.71 MB)
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36 - The type of the data influences the interpretability of results.mp4 (50.66 MB)
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37 - What is Association Rule Mining.mp4 (51.36 MB)
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39 - What is Support.mp4 (21.87 MB)
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40 - Part 1 Explore the dataset.mp4 (71.56 MB)
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42 - Part 2 Create the Model and Examine the rules.mp4 (75.36 MB)
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43 - Part 3 Visualize the results of the Association Rule Mining Exercise.mp4 (64.29 MB)
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