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Course Introduction

• I'm pleased to meet you!

• Installing NET Core 3.0

• Installing the ML.NET CLI

• Installing Visual Studio Code

• Recap

• Next steps

Introduction To Machine Learning

• In this section...

• What is machine learning?

• Supervised learning

• Unsupervised learning

• Recent developments

• Recap

• Next steps

Test Your Knowledge

• In this section...

• Quiz

• Quiz review

• Recap

• Next steps

Loading And Processing Data

• Introduction

• In this section...

• Introducing numeric data

• Loading numeric data

• Introducing string data

• Loading string data

• Introducing geo data

• Loading Geo data

• Loading text data

• Test your knowledge

• Quiz

• Quiz review

• App #1: Predict house prices in California

• Recap

• Next steps

Supervised Learning

• Introducing supervised learning

• Supervised learning

Regression

• Introduction

• In this section...

• Introducing linear regression

• Single linear regression

• Introducing regression metrics

• RMSE, MSE, and MAE

• Introducing gradient descent

• Gradient descent

• Introducing multiple linear regression

• Multiple linear regression

• Test your knowledge

• Quiz

• Quiz review

• App #2: Predict taxi fares in New York

• Recap

• Next steps

Binary Classification

• Introduction

• In this section...

• Introducing binary classification

• Binary classification

• Introducing binary metrics

• Accuracy, Precision, and Recall

• Introducing ROC and AUC

• ROC, AUC, and Bias

• Test your knowledge

• Quiz

• Quiz review

• App #3: Predict heart disease in Cleveland

• Recap

• Next steps

Multiclass Classification

• Introduction

• In this section...

• Introducing multiclass classification

• Multiclass classification

• Introducing multiclass metrics

• The confusion matrix

• Micro and macro averages

• Test your knowledge

• Quiz

• Quiz review

• App #4: Recognize handwritten digits

• Recap

• Next steps

Training And Evaluating Models

• Introduction

• In this section...

• Introducing overfitting

• Overfitting

• Introducing partitioning

• Partitioning datasets

• Minibatch training

• Introducing K-fold cross validation

• K-Fold Cross Validation3

• Test your knowledge

• Quiz

• Quiz review

• App #5: Detect spam messages

• Recap

• Next steps

Deep Neural Networks

• In this section...

• Introducing deep neural networks

• From linear regression to neural networks

• The architecture of deep neural networks

• How to visualize hidden network layers

• How to train deep neural networks

• Test your knowledge

• Quiz

• Quiz review

• App #6: Recognize objects in images

• Recap

• Next steps

Decision Trees

• Introduction

• In this section...

• Introducing classification trees

• Classification trees

• Introducing regression trees

• Regression trees

• Test your knowledge

• Quiz

• Quiz review

• App #7: Predict Titanic survivors

• Recap

• Next steps

Ensemble Models

• Introduction

• In this section...

• Introducing ensemble models

• Ensemble models

• Introducing bagging

• Bagging

• Introducing boosting

• Boosting

• Introducing stacking

• Stacking

• Test your knowledge

• Quiz

• Quiz review

• App #8: Predict bike demand in Washington DC

• Recap

• Next steps

Unsupervised Learning

• Introducing unsupervised learning

• Unsupervised learning

Clustering

• Introduction

• In this section...

• Introducing clustering

• K-Means Clustering1

• Introducing clustering metrics

• The Davies Bouldin Index

• Test your knowledge

• Quiz

• Quiz review

• App #9: Classify unlabeled Iris flowers

• Recap

• Next steps

Recommendation Systems

• Introduction

• In this section...

• The challenge

• Introducing PCA

• PCA

• Introducing SVD

• SVD

• Test your knowledge

• Quiz

• Quiz review

• App #10: Recommend movies to me

• Recap

• Next steps

Test Your Knowledge (Again)

• In this section...

• Quiz

• Quiz review

• Recap

• Next steps

In Conclusion

• Course recap

• What you've learned

• Get your certificate of completion

• Closing words