Machine Learning Techniques using Python
Model evaluation and optimisation, decision trees, random forests, logistic regression, SVMs, neural networks, deep learning and more.
What you will learn
You will learn advanced state-of-the art machine learning techniques that are in demand in industry and research.
Languages and libraries :
Good knowledge of python, some familiarity with matrices, basic understanding of machine learning practice (as taught in Introduction to Data Science)
Individuals who wish to take their data science skills further and learn state-of-the-art techniques in this constantly evolving field.
Get in touch with us to learn more about the course!
Random Forests, Logistic Regression, Support Vector Machines (SVMS)
Neural Networks and Deep Learning
Get in Touch
We will email you within the next 24 hours to arrange a quick call to help with any questions about the programme and recommend pre-course materials.