Oleksandr (Sasha) Shynkariuk's Projects
Advanced python workshop materials
A simple barista service made with Quarkus
Notebooks from DeepLearningAI "ChatGPT Prompt Engineering for Developers"
Notes and workbooks for 'Convolutional Neural Networks in TensorFlow' course @Coursera
Lecture notes for a "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" course @Coursera
Workbooks of Coursera "Neural Networks and Deep Learning" course
For extensive instructor led learning
A collection of deep learning notebooks with some examples of different techniques
Notebooks for learning deep learning
Code, notes and workbook for "From Data to Insights with Google Cloud" Specialization
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
The projects and materials that accompany the Kotlin Coroutines by Tutorials book
This projects gives Kotlin bindings and several extensions for Apache Spark. We are looking to have this as a part of Apache Spark 3.x
An anti-bikeshedding Kotlin linter with built-in formatter
A ktlint gradle plugin
Config files for my GitHub profile.
LLM Demo - GCP PaLM2
Machine Learning for Finance, published by Packt
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A collection of jupyter data science notebooks
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Public repo for DeepLearning.AI MLEP Specialization