Description
This Hands-On session is dedicated to train your skills in area
of Machine Learning (aka ML 101 course). We'll start with an Iris
dataset and build our first ML model for it. Then we'll gradually
expand our model to include various ML techniques, like
ensemble learning, introduce concept of cross-validation and
build simple Neural Network model. This session only requires
basic Python programming skills and understanding of basic
ML concepts.
