Machine Learning with Python and ML.NET
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Course Introduction

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The affiliate program
Installing Visual Studio Code
Introduction To Machine Learning

What is data science?
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
Quiz
Your assignment
Assignment: Process California housing data
My answers
Recap
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
Quiz
Your assignment
Assignment: Predict taxi fares in New York
My answers
Recap
Case study

Predict house prices in Iowa
Supervised Learning

Introducing supervised learning
Supervised learning
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
Quiz
Your assignment
Assignment: Predict heart disease risk
My answers
Recap
Case study

Detect credit card fraud in Europe
Multiclass Classification

Introduction
In this section...
Introducing multiclass classification
Multiclass classification
Introducing multiclass metrics
The confusion matrix
Micro and macro averages
Quiz
Your assignment
Assignment: Recognize handwritten digits
My answers
Recap
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 Validation
Quiz
Your assignment
Assignment: Detect spam messages
My answers
Recap
Case study

Flag toxic comments on Wikipedia
Decision Trees

Introduction
In this section...
Introducing classification trees
Classification trees
Introducing regression trees
Regression trees
Quiz
Your assignment
Assignment: Predict Titanic survivors
My answers
Recap
Case study

Detect diabetes in Pima indians
Ensemble Models

Introduction
In this section...
Introducing ensemble models
Ensemble models
Introducing bagging
Bagging
Introducing boosting
Boosting
Introducing stacking
Stacking
Quiz
Assignment: Predict bike demand in Washington DC
My answers
Recap
Clustering

Introduction
In this section...
Introducing clustering
K-Means Clustering
Introducing clustering metrics
The Davies Bouldin Index
Quiz
Assignment: Classify unlabeled Iris flowers
My answers
Recap
Unsupervised Learning

Introducing unsupervised learning
Unsupervised learning
In Conclusion

What you've learned

Machine Learning with Python and ML.NET

In this training you will learn how to create AI applications with Python and Microsoft’s ML.NET machine learning library. The training will introduce you to NimbusML, a package that connects the Python runtime to the ML.NET library. You'll also learn the basics of regression, classification, and clustering and master machine learning algorithms like logistic regression, decision trees, and boosting ensembles.