186 Notebook courses

A standalone 10 week/session course that will introduce you to the basic materials, tools, equipment and techniques used in paper crafting and mixed media work and to Craft4Smiles C.I.C and our tutors. You will be sent all the materials and equipment needed to complete the course. At the end of each lesson you will have a crafted item to take away to keep or show family and friends. You will be told about the other courses you offer so that you can make an informed choice about further learning.

Advance your data skills by mastering Spark programming in Python. This beginner's level course will help you understand the core concepts related to Apache Spark 3 and provide you with knowledge of applying those concepts to build data engineering solutions.

Private soap making class run by The Scottish Soapworks at The Arienas Collective in Edinburgh City Centre

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects

This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.

In this course, you will learn Python fundamentals, and the concepts of the amazing pandas data science library needed to pre-process and prepare the data for machine learning algorithms.

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations. This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.