Machine Learning
Master ML fundamentals and real-world implementation in this comprehensive course, featuring interactive sessions, hands-on projects, and practical applications.
Week 1 – Introduction to Machine Learning Theory
Overview This week we'll embark on an exciting journey into the realm of machine learning theory, delving into the key…
Week 2 – Common Machine Learning Problems
Overview Last week we covered the basics of machine learning, delving into its fundamental concepts and principles. We explored the…
Week 3 – Machine Learning Implementations
Overview Last week, we focused on common machine learning problems and troubleshooting techniques, such as regression and classification, overfitting, underfitting,…
Week 4 – The ML Pipeline and an Iconic Model – the Neural Network
Introduction In Week 3, we delved into machine learning implementations, focusing on when and why to use machine learning, as…
Week 5 – A Machine Learning Project: Image Generation
In Week 4, we focused on understanding machine learning in real-world scenarios and the concept of ML pipelines. We discussed…
Week 6 – Different ML Models and Their Applications
Overview Last week, we explored the realm of fake image generation using Generative Adversarial Networks (GANs), diving into the world…
Week 7 – Data Processing Practices – an Example from NLP
Last week, we delved deep into the fascinating world of various machine learning models and how they are applied in…
Week 8 – Evaluating Model Performance
Overview As we move forward in our exploration of Machine Learning, this week's lesson delves into the all-important topic of…
