Practical AI and Machine Learning with Model Builder AutoML
Master machine learning by doing it in practice, using an automated machine learning GUI that requires little/no coding.
4.68 (30 reviews)
255
students
3.5 hours
content
Jan 2025
last update
$19.99
regular price
What you will learn
See an end-to-end, supervised machine learning process to tackle a regression problem, using Microsoft's Model Builder and ML .Net.
Understand the tasks and activities that take place behind the scenes. From data preparation all the way to model training and evaluation.
Understand data transformation, feature scaling, iterating through algorithms, evaluation metrics, overfitting, cross-validation and regularization.
Understanding the impact of evaluation metrics on model performance, and how to check for overfitting.
Understand the lasting fundamentals of machine learning that are independent of the tools or platforms one can use.
Gain a deep understanding of machine learning concepts by seeing them in action, during a practical machine learning demonstration.
Understand the importance of Exploratory Data Analysis (EDA) and the impact that the statistical distribution of the data has on model performance.
Learn how to set up Visual Studio and to configure it to enable Model Builder, the graphical tool that will be used to demonstrate the machine learning process.
Learn how to use Model Builder to train models without having to code.
Screenshots
5657570
udemy ID
11/13/2023
course created date
11/19/2023
course indexed date
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