Thank you for choosing our book, Machine Learning for Drifts and Shifts, and for getting familiar with drifts in machine learning! This repository contains working versions of the snippets provided in the book to help you understand and address data drift challenges effectively.

Let's get started by setting up your environment. Follow Chapter #2 for specific details on installing all required packages:

1. Create a Conda Environment:

   conda create -n book python=3.10 -y
   conda activate book

2. Clone the Repository and Install Requirements:

   git clone https://github.com/PacktPublishing/Data-Drift-in-Machine-Learning.git
   cd tutorials
   pip install -r requirement.txt

We welcome contributions from the community to enhance and expand UCD_MISC_Data-Drift-in-Machine-Learning. Here's how you can contribute:

• Fork and Pull Requests: Feel free to fork the UCD_MISC_Data-Drift-in-Machine-Learning repository and submit your contributions via pull requests. We acknowledge all contributors in our releases, and outstanding contributions may even earn you a spot on the UCD_MISC_Data-Drift-in-Machine-Learning conference website!

• Bug Reports and Feature Suggestions: We value bug reports, feature suggestions, and enhancements. Your feedback helps us improve UCD_MISC_Data-Drift-in-Machine-Learning and make it more robust and user-friendly.

• Sharing Your Projects: If you've built exciting projects or applications using UCD_MISC_Data-Drift-in-Machine-Learning, we'd love to hear about them! Share your links and experiences with the community to inspire others.

Your engagement enriches the UCD_MISC_Data-Drift-in-Machine-Learning community and contributes to its growth and development!

This project is licensed under the GPL-3.0 licence