This course will introduce you to machine learning and AI and get you up to speed with Python and Microsoft's NimbusML library.

NimbusML is a new package that allows you to call Microsoft's awesome new ML.NET machine learning library directly from your Python code. And NimbusML integrates seamlessly with popular libraries you might already be using like Pandas, Numpy and Scikit. 

In this course I will give you a solid foundation in machine learning and teach you how to design, train, and evaluate complex AI models. You'll be building Python applications from day one and I will provide you with all the source code, libraries, and data sets you need to get going.

The Python language is the go-to choice in machine learning. It's a 100% dynamic programming language with a powerful syntax and tons of third-party libraries for importing, processing and graphing data. 

Check out the following Python code fragment from one of the coding assignments in the course. The code trains a machine learning model to predict heart disease risk from a dataset of real-life patient records, and then uses the fully-trained model to create a diagnosis for a 36 year old male patient with suspicious chest pain.  

Look how compact the code is. Python allows you to write extremely concise machine learning code, and it shows!

This app is only 56 lines of code:

Check out this complimentary lecture from the course in which I will teach you about K-Fold Cross Validation. This is a cool trick in machine learning when we have to train on really small datasets.

Introduction
Course prerequisites
Installing Visual Studio Code

Machine Learning
What is machine learning?

Loading And Processing Data

Numeric data

String data

Geo data

Quiz

Process California housing data

My answers

Recap

Supervised Learning

Introduction

Regression
Linear regression
Regression metrics

Gradient descent

Multiple linear regression
Quiz
Predict taxi fares in New York
My answers
Recap

Case Study

Predict house prices in Iowa

Binary Classification
Binary classification

Binary metrics

ROC, AUC, and Bias
Quiz
Predict heart disease
My answers
Recap

Case Study

Detect credit card fraud in Europe

Multiclass Classification
Multiclass classification
Multiclass metrics

The confusion matrix

Micro and macro averages
Quiz
Recognise handwriting
My answers
Recap

Training And Evaluating Models
Overfitting
Partitioning data
Minibatch training
K-Fold Cross Validation
Quiz
Detect spam messages
My answers
Recap

Case Study

Flag toxic comments on Wikipedia

Decision Trees
Classification trees
Regression trees
Quiz
Predict Titanic survivors
My answers
Recap

Case Study

Detect Diabetes in Pima indians

Ensemble Models
Bias and Variance

Bagging
Boosting
Stacking
Quiz
Predict bike demand in Washington DC
My answers
Recap

Unsupervised Learning

Introduction

Clustering
K-Means clustering
The Davies-Bouldin index
Quiz
Classify unlabelled Iris flowers
My answers
Recap

In Conclusion
What you've learned