Introduction to Machine Learning for Data Science

The seminar introduces the fundamental concepts of machine learning and delves into different techniques needed to solve data science problems. It also covers important topics like supervised learning, unsupervised learning along with relevant computer programming fundamentals, in conjunction with hands-on analysis of real-world datasets. It consists of several examples developed using Jupyter Notebook and commonly used Python libraries.

Please register to get access to the seminar and optional pre-seminar materials.