220.48 MB | 00:05:59 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 - Data science with NET.mp4 (1.81 MB)
02 - What you should know.mp4 (1.5 MB)
01 - Notebooks and kernels.mp4 (3.15 MB)
02 - Installing Polyglot Notebooks.mp4 (2.41 MB)
03 - Creating your first Notebook.mp4 (2.3 MB)
04 - C# cells.mp4 (3.15 MB)
05 - Variable sharing between cells.mp4 (5.47 MB)
06 - Declaring classes and methods.mp4 (6.58 MB)
07 - F# cells.mp4 (3.33 MB)
08 - Sharing variables between kernels.mp4 (9.77 MB)
09 - Markdown cells.mp4 (3.63 MB)
10 - Mermaid diagrams.mp4 (12.11 MB)
11 - Importing NuGet packages.mp4 (5.12 MB)
01 - Introducing DataFrames.mp4 (9.54 MB)
02 - Renaming and removing columns.mp4 (8.94 MB)
03 - Replacing missing values.mp4 (7.96 MB)
04 - Dropping missing values.mp4 (2.85 MB)
05 - Feature engineering.mp4 (11.19 MB)
06 - Merging DataFrames.mp4 (4.53 MB)
07 - Grouping data.mp4 (4.71 MB)
08 - Filtering data.mp4 (6.71 MB)
09 - Exporting DataFrames.mp4 (3.45 MB)
01 - Describing DataFrames.mp4 (5.06 MB)
02 - Getting values from individual columns.mp4 (3.23 MB)
03 - Histograms.mp4 (5.58 MB)
04 - Box and violin plots.mp4 (6.79 MB)
05 - Scatter plots.mp4 (6.76 MB)
01 - Intro to machine learning, ML NET, and AutoML.mp4 (5.99 MB)
02 - Loading data into traintest sets.mp4 (5.32 MB)
03 - Training classification models.mp4 (7.03 MB)
04 - Evaluating classification models.mp4 (11.4 MB)
05 - Training regression models.mp4 (4.9 MB)
06 - Evaluating regression models.mp4 (6.57 MB)
07 - Saving and loading models.mp4 (6.64 MB)
08 - Generating predictions from models.mp4 (11.65 MB)
09 - Additional ML NET topics.mp4 (4.34 MB)
01 - Adopting Polyglot Notebooks.mp4 (3.56 MB)
02 - Getting into data science and AI as a developer.mp4 (3.01 MB)
01 - Next steps.mp4 (2.2 MB)]
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