Course Brief
This course offers a comprehensive introduction to Machine Learning (ML), focusing on the essential concepts and algorithms. Students will explore both supervised and unsupervised learning, neural networks, regression, classification, and model evaluation. Practical exercises will help learners implement these techniques to solve real-world problems. Ideal for those looking to build a career in data science, artificial intelligence, or predictive analytics.
"I will be the leader of a company that ends up being worth billions of dollars, because I got the answers. I understand culture. I am the nucleus. I think that’s a responsibility that I have, to push possibilities, to show people, this is the level that things could be at."
