The Machine Learning Workshop

This is the repository for The Machine Learning Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.

Requirements and Setup

To get started with the project files, you'll need to:

1. Install Python on Windows/Mac
2. Install pip on Windows/Mac/Linux

About The Machine Learning Workshop

With expert guidance and real-world examples, The Machine Learning Workshop gets you up and running with programming machine learning algorithms. By showing you how to leverage scikit-learn's flexibility, it teaches you all the skills you need to use machine learning to solve real-world problems.

What you will learn

• Understand how to select an algorithm that best fits your dataset and desired outcome
• Explore popular real-world algorithms such as K-means, Mean-Shift, and DBSCAN
• Discover different approaches to solve machine learning classification problems
• Develop neural network structures using the scikit-learn package
• Use the NN algorithm to create models for predicting future outcomes
• Perform error analysis to improve your model's performance

Related Workshops

If you've found this repository useful, you might want to check out some of our other workshop titles:

• The Supervised Learning Workshop
• The Unsupervised Learning Workshop
• The Reinforcement Learning Workshop