Master Data Science with .NET: Polyglot Notebooks & ML.NET
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1:53:11
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
More details
Course Overview
Join Matt Eland, Microsoft MVP, to master data science in .NET using Polyglot Notebooks and ML.NET. Learn data analysis, visualization, and machine learning techniques tailored for .NET developers in this comprehensive course.
What You'll Learn
- Set up and work with Polyglot Notebooks for data science
- Perform data wrangling and visualization with .NET libraries
- Build and evaluate ML models using ML.NET's AutoML
Who This Is For
- .NET developers entering data science
- C#/F# programmers analyzing data
- Technical professionals exploring ML.NET
Key Benefits
- Leverage your .NET skills for data science
- Interactive learning with Polyglot Notebooks
- Practical ML implementation with ML.NET
Curriculum Highlights
- Polyglot Notebooks Fundamentals
- Data Analysis & Visualization
- Machine Learning with ML.NET
Focused display
Category
- language english
- Training sessions 39
- duration 1:53:11
- Release Date 2025/04/19
