TECH6303 - Python for Machine Learning

Machine learning

Up-skill in the Python programming language for Machine Learning

Learn to utilize Python libraries to solve predictive problems (supervised learning) and data clustering problems (unsupervised learning). Study machine learning techniques such as multiple linear regressions (Ridge and Lasso), generalized linear models and classification, clustering, and dimensionality reduction methods (SVM).

Every field of computing is being impacted by Machine Learning: software engineering, data analysis, and artificial intelligence. This course concludes with an opportunity to test, try, and implement a small freelance coding assignment that can be used in your professional portfolio.

Topics

Introduction to Machine Learning
Playing with built-in datasets
Linear regression
Polynomial regression
Logistic regression
Support vector machines
Decision trees and random forests
K-nearest neighbours
Naive Bayes
Clustering models
Artificial neural networks and deep learning

Earn a Western Digital Badge

Recognizing your learning achievement when you complete this micro-credential.

Learning Objectives

Upon successful completion of this course, students will be able to:

Describe how machine learning can be used to create models that interpret large amounts of data
Apply machine learning methods and algorithms in the context of real-world problems
Explore Machine Learning oriented practical applications of scientific libraries such as SciKit-Learn and TensorFlow
Identify how to formulate learning tasks as computational problems and the methods that are designed to solve these problems
Design and implement methods for problems in pattern recognition, system identification or predictive analysis
Complete a freelance coding assignment to demonstrate proficiency using Python programming language for Machine Learning

Financial Assistance

This course is eligible for Ontario Student Assistance Program (OSAP) micro-credential funding. Find out if you are eligible.

Experience Required

Python for Machine Learning is a complex, advanced level python course. A foundational knowledge in mathematics and statistics through prior course work or work experience is required.

Machine learning experience is not required; however we strongly recommend prior experience with Python. If you do not have sufficient prior experience using Python, we strongly recommend that you complete TECH6301 Introduction to Python before you begin.