Course Lectures: Supervised Machine Learning
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Learn more
Discussions
Aug 21
Welcome
Welcome To This Course
How To Navigate This Course
The Machine Learning Platforms
How To Access The Labs
The Course Structure
All Access Membership
Up Next
Introduction To Artificial Intelligence
What is Artificial Intelligence?
The History Of AI
Machine Learning
Computer Vision
Natural Language Processing
Bias In Artificial Intelligence
Examples Of Bias In AI
Risks With AI
The Six Principles Of Responsible AI
Recap
Test Your Knowledge
Up Next
Prerequisites
Introduction
Prerequisites for ML.NET and C#
Up Next
Loading And Processing Data
Loading And Processing Data
Processing Numeric Data
Handling Outliers
One-Hot Encoding
Binning Geo Data
One-Hot Encoding Geo Bins
Processing Text Data
Recap
Test Your Knowledge
Up Next
Process The California Housing Dataset
Introduction
The California Housing Dataset
Process Data with ML.NET and C#
Up Next
Supervised And Unsupervised Learning
Supervised And Unsupervised Learning
Up Next
Regression
Introduction
Linear Patters In Data
The Linear Regression Algorithm
The RMSE Metric
The MAE And MSE Metrics
The Loss Surface
The Gradient Descent Algorithm
Multidimensional Datasets
Multiple Linear Regression
Recap
Test Your Knowledge
Up Next
Predict House Prices In California
Predict House Prices with ML.NET and C#
Up Next
Predict Taxi Fares In New York
Introduction
The New York TLC Dataset
Predict Taxi Fares with ML.NET and C#
Up Next
Binary Classification
Introduction
Binary Patterns In Data
The Threshold Value
The Sigmoid Function
The Confusion Matrix
The Accuracy Metric
The Precision And Recall Metrics
The TPR and FPR Metrics
The ROC Curve
The AUC Metric
The Calibration Curve
Recap
Test Your Knowledge
Up Next
Predict Heart Disease In Cleveland
Introduction
The Cleveland CAD Dataset
Predict Heart Disease with ML.NET and C#
Up Next
Multiclass Classification
Introduction
Multiclass Classification
One Versus All
One Versus One
The Multiclass Confusion Matrix
Micro And Macro Averages
Recap
Test your knowledge
Up Next
Recognize Handwriting
Introduction
The MNIST Dataset
Recognize Handwriting with ML.NET and C#
Up Next
In Conclusion
Course Recap
Your certificate of completion
Closing Words
Products
Course
Course Lectures: Supervised Machine Learning
Course Lectures: Supervised Machine Learning
Course Lectures: Supervised Machine Learning
Buy now
Learn more
Discussions
Aug 21
Welcome
Welcome To This Course
How To Navigate This Course
The Machine Learning Platforms
How To Access The Labs
The Course Structure
All Access Membership
Up Next
Introduction To Artificial Intelligence
What is Artificial Intelligence?
The History Of AI
Machine Learning
Computer Vision
Natural Language Processing
Bias In Artificial Intelligence
Examples Of Bias In AI
Risks With AI
The Six Principles Of Responsible AI
Recap
Test Your Knowledge
Up Next
Prerequisites
Introduction
Prerequisites for ML.NET and C#
Up Next
Loading And Processing Data
Loading And Processing Data
Processing Numeric Data
Handling Outliers
One-Hot Encoding
Binning Geo Data
One-Hot Encoding Geo Bins
Processing Text Data
Recap
Test Your Knowledge
Up Next
Process The California Housing Dataset
Introduction
The California Housing Dataset
Process Data with ML.NET and C#
Up Next
Supervised And Unsupervised Learning
Supervised And Unsupervised Learning
Up Next
Regression
Introduction
Linear Patters In Data
The Linear Regression Algorithm
The RMSE Metric
The MAE And MSE Metrics
The Loss Surface
The Gradient Descent Algorithm
Multidimensional Datasets
Multiple Linear Regression
Recap
Test Your Knowledge
Up Next
Predict House Prices In California
Predict House Prices with ML.NET and C#
Up Next
Predict Taxi Fares In New York
Introduction
The New York TLC Dataset
Predict Taxi Fares with ML.NET and C#
Up Next
Binary Classification
Introduction
Binary Patterns In Data
The Threshold Value
The Sigmoid Function
The Confusion Matrix
The Accuracy Metric
The Precision And Recall Metrics
The TPR and FPR Metrics
The ROC Curve
The AUC Metric
The Calibration Curve
Recap
Test Your Knowledge
Up Next
Predict Heart Disease In Cleveland
Introduction
The Cleveland CAD Dataset
Predict Heart Disease with ML.NET and C#
Up Next
Multiclass Classification
Introduction
Multiclass Classification
One Versus All
One Versus One
The Multiclass Confusion Matrix
Micro And Macro Averages
Recap
Test your knowledge
Up Next
Recognize Handwriting
Introduction
The MNIST Dataset
Recognize Handwriting with ML.NET and C#
Up Next
In Conclusion
Course Recap
Your certificate of completion
Closing Words
Learn more
Buy now
This module contains video and text lectures for the Supervised Machine Learning training courses.
Welcome
7 Lessons
Welcome To This Course
How To Navigate This Course
The Machine Learning Platforms
How To Access The Labs
The Course Structure
All Access Membership
Up Next
Introduction To Artificial Intelligence
12 Lessons
What is Artificial Intelligence?
The History Of AI
Machine Learning
Computer Vision
Natural Language Processing
Bias In Artificial Intelligence
Examples Of Bias In AI
Risks With AI
The Six Principles Of Responsible AI
Recap
Test Your Knowledge
Up Next
Prerequisites
3 Lessons
Introduction
Prerequisites for ML.NET and C#
Up Next
Loading And Processing Data
10 Lessons
Loading And Processing Data
Processing Numeric Data
Handling Outliers
One-Hot Encoding
Binning Geo Data
One-Hot Encoding Geo Bins
Processing Text Data
Recap
Test Your Knowledge
Up Next
Process The California Housing Dataset
4 Lessons
Introduction
The California Housing Dataset
Process Data with ML.NET and C#
Up Next
Supervised And Unsupervised Learning
2 Lessons
Supervised And Unsupervised Learning
Up Next
Regression
12 Lessons
Introduction
Linear Patters In Data
The Linear Regression Algorithm
The RMSE Metric
The MAE And MSE Metrics
The Loss Surface
The Gradient Descent Algorithm
Multidimensional Datasets
Multiple Linear Regression
Recap
Test Your Knowledge
Up Next
Predict House Prices In California
2 Lessons
Predict House Prices with ML.NET and C#
Up Next
Predict Taxi Fares In New York
4 Lessons
Introduction
The New York TLC Dataset
Predict Taxi Fares with ML.NET and C#
Up Next
Binary Classification
14 Lessons
Introduction
Binary Patterns In Data
The Threshold Value
The Sigmoid Function
The Confusion Matrix
The Accuracy Metric
The Precision And Recall Metrics
The TPR and FPR Metrics
The ROC Curve
The AUC Metric
The Calibration Curve
Recap
Test Your Knowledge
Up Next
Predict Heart Disease In Cleveland
4 Lessons
Introduction
The Cleveland CAD Dataset
Predict Heart Disease with ML.NET and C#
Up Next
Multiclass Classification
9 Lessons
Introduction
Multiclass Classification
One Versus All
One Versus One
The Multiclass Confusion Matrix
Micro And Macro Averages
Recap
Test your knowledge
Up Next
Recognize Handwriting
4 Lessons
Introduction
The MNIST Dataset
Recognize Handwriting with ML.NET and C#
Up Next
In Conclusion
3 Lessons
Course Recap
Your certificate of completion
Closing Words