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| Total size: |
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| Archived
files |
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01 - Course Overview\01 - Course Overview.mp4
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02 - Getting Started with Python Analytics\02 - Module Overview.mp4
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02 - Getting Started with Python Analytics\03 - Prerequisites and Course Outline.mp4
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02 - Getting Started with Python Analytics\04 - Demo- Prototyping a Classifier.mp4
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02 - Getting Started with Python Analytics\05 - Demo- Writing a Python Script for a Classification Model.mp4
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02 - Getting Started with Python Analytics\06 - Module Summary.mp4
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02 - Getting Started with Python Analytics\07 - Python for Data Analysts.mp4
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02 - Getting Started with Python Analytics\08 - Python Resources for Analysts.mp4
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02 - Getting Started with Python Analytics\09 - Demo- Exploring Online Resources.mp4
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02 - Getting Started with Python Analytics\10 - Workflows in Data Analytics.mp4
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02 - Getting Started with Python Analytics\11 - Demo- Cleaning Data.mp4
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02 - Getting Started with Python Analytics\12 - Demo- Summary Statistics and Basic Analysis.mp4
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02 - Getting Started with Python Analytics\13 - Demo- Visualizing Relationships in Data.mp4
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02 - Getting Started with Python Analytics\14 - Demo- Sharing Visualizations Online Using Plotly.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\15 - Module Overview.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\16 - Introducing Big ML.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\17 - Demo- Anomaly Detection.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\18 - Module Summary.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\19 - Demo- Getting Started with Big ML.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\20 - Demo- Configuring Data Sources and Creating Datasets.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\21 - Demo- Data Preparation and Visualization.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\22 - Demo- Splitting into Training and Test Subsets.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\23 - Demo- Building Models.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\24 - Demo- Evaluating Models.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\25 - Demo- Batch and Individual Predictions.mp4
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03 - Leveraging Online Resources for Python Analytics with BigML\26 - Demo- Clustering.mp4
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04 - Working with Interactive Environment Using Google Colab\27 - Module Overview.mp4
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04 - Working with Interactive Environment Using Google Colab\28 - Introducing Google Colab.mp4
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04 - Working with Interactive Environment Using Google Colab\29 - Demo- Introducing the Google Colab Interface.mp4
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04 - Working with Interactive Environment Using Google Colab\30 - Demo- Colab Notebooks—Si |
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04 - Working with Interactive Environment Using Google Colab\31 - Demo- Interactive Forms.mp4
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04 - Working with Interactive Environment Using Google Colab\32 - Demo- Accessing Google Drive Contents from Colab.mp4
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04 - Working with Interactive Environment Using Google Colab\33 - Demo- Widgets.mp4
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04 - Working with Interactive Environment Using Google Colab\34 - Demo- Building a Regression Model.mp4
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04 - Working with Interactive Environment Using Google Colab\35 - Demo- Integrating with Github.mp4
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04 - Working with Interactive Environment Using Google Colab\36 - Summary and Further Study.mp4
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leveraging-online-resources-python-analytics.zip |
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01 - Course Overview |
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