This workshop, designed for the beginner-intermediate data science enthusiast, provides a practical guide in developing and implementing the following ML techniques: clustering, classification, and regression. Participants will apply these techniques to a sample dataset and, in so doing, will experience a taste of developing and answering research questions through ML. All participants must install Python and a compiler which supports Python prior to this workshop.
In this workshop, students will:
- Design and construct basic ML models in Python.
- Device research questions in data science and ML.
- Interpret and design commonly used basic ML techniques (clustering, classification, and regression).
Pre-requisite knowledge: Basic knowledge in data science/statistical methods. Specifically, the student should have Python installed and should be able to follow instruction on writing code using Pandas and the Scikitlearn libraries.
Software requirements: Python and a Python compiler (e.g. PyCharm Community version or Jupyter Notebook) should already be installed on your machine.
Date: March 12, 2023, 6 – 8.30 pm
Location: Zoom
Instructor: Rohith Sothilingham, Senior Cloud Architect, Deloitte, and PhD Candidate, Faculty of Information
