Exercises, notes, and files from various LinkedIn Learning courses I've completed (or am in the process of completing):
- Advanced AI: Transformers for NLP Using Large Language Models by Jonathan Fernandes
- Algorithmic Thinking with Python: Diving Deeper by Robin Andrews
- Algorithmic Thinking with Python: Foundations by Robin Andrews
- Apache PySpark by Example by Jonathan Fernandes
- Building a Recommendation System With Python ML & AI by Lillian Pierson, P.E.
- Building and Deploying Deep Learning Applications with TensorFlow by Adam Geitgey
- Building Deep Learning Applications with Keras 2.0 by Adam Geitgey
- Introduction to Deep Learning with OpenCV by Jonathan Fernandes
- Learning Hadoop by Lynn Langit
- Deep Learning: Face Recognition by Adam Geitgey
- Deep Learning: Image Recognition by Adam Geitgey
- Learning Azure DevOps by Walt Ritscher
- Learning Docker by Arthur Ulfeldt
- Neural Networks and Convolutional Neural Networks Essential Training by Jonathan Fernandes
- NLP with Python for Machine Learning Essential Training by Derek Jedamski
- Programming Foundations: Object-Oriented Design by Barron Stone and Olivia Chiu-Stone
- Python Data Structures and Algorithms by Robin Andrews
- Python Object-Oriented Programming by Joe Marini
- Python Statistics Essential Training by Michelle Valisneri
- PyTorch Essential Training: Deep Learning by Jonathan Fernandes
- Social Media Monitoring: Strategies and Skills by Martin Waxman
- Technical SEO by Dana DiTomaso
- Training Neural Networks in Python by Eduardo Corpeño
- Unit Testing and Test-Driven Development in Python by Richard Wells