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Exploring Data Science with .NET using Polyglot Notebooks & ML.NET

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Matt Eland

1:53:11

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  • 01 - Data science with .NET.mp4
    00:40
  • 02 - What you should know.mp4
    00:59
  • 01 - Notebooks and kernels.mp4
    01:58
  • 02 - Installing Polyglot Notebooks.mp4
    00:57
  • 03 - Creating your first Notebook.mp4
    01:39
  • 04 - C# cells.mp4
    02:00
  • 05 - Variable sharing between cells.mp4
    03:03
  • 06 - Declaring classes and methods.mp4
    03:46
  • 07 - F# cells.mp4
    02:18
  • 08 - Sharing variables between kernels.mp4
    04:58
  • 09 - Markdown cells.mp4
    02:19
  • 10 - Mermaid diagrams.mp4
    05:59
  • 11 - Importing NuGet packages.mp4
    02:14
  • 01 - Introducing DataFrames.mp4
    03:47
  • 02 - Renaming and removing columns.mp4
    03:07
  • 03 - Replacing missing values.mp4
    03:47
  • 04 - Dropping missing values.mp4
    01:19
  • 05 - Feature engineering.mp4
    05:36
  • 06 - Merging DataFrames.mp4
    02:11
  • 07 - Grouping data.mp4
    02:16
  • 08 - Filtering data.mp4
    02:33
  • 09 - Exporting DataFrames.mp4
    01:22
  • 01 - Describing DataFrames.mp4
    02:39
  • 02 - Getting values from individual columns.mp4
    01:54
  • 03 - Histograms.mp4
    03:31
  • 04 - Box and violin plots.mp4
    04:08
  • 05 - Scatter plots.mp4
    03:41
  • 01 - Intro to machine learning, ML.NET, and AutoML.mp4
    03:36
  • 02 - Loading data into traintest sets.mp4
    02:54
  • 03 - Training classification models.mp4
    03:33
  • 04 - Evaluating classification models.mp4
    05:23
  • 05 - Training regression models.mp4
    02:40
  • 06 - Evaluating regression models.mp4
    03:54
  • 07 - Saving and loading models.mp4
    03:35
  • 08 - Generating predictions from models.mp4
    05:02
  • 09 - Additional ML.NET topics.mp4
    02:36
  • 01 - Adopting Polyglot Notebooks.mp4
    02:19
  • 02 - Getting into data science and AI as a developer.mp4
    01:56
  • 01 - Next steps.mp4
    01:02
  • Description


    In this course, Matt Eland—an AI specialist, Microsoft MVP, and author—equips experienced .NET developers with the skills to conduct data analytics and data science experiments using Polyglot Notebooks. Dive into the core of Polyglot Notebooks, its relationship to Jupyter Notebooks, and language support for C#, F#, PowerShell, SQL, and Mermaid diagrams. Learn data ingestion, sharing between kernels, exploratory data analysis with descriptive statistics, and data visualization using libraries like Microsoft.Data.Analysis, ScottPlot, and Plotly.NET. Explore basic machine learning concepts, model training, train/test splits, evaluation, and beginner classification/regression experiments with ML.NET's AutoML capabilities. Plus, cover advanced Polyglot Notebooks integrations like Azure OpenAI, Semantic Kernel, Sequence Diagram Generation, and Azure AI Services.

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    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 39
    • duration 1:53:11
    • Release Date 2025/02/25