Students who will complete this course can achieve the following course learning outcomes (CLOs):
CLO1: Understand the basics of supervised learning, including the difference between classification and regression tasks.
CLO2: Select appropriate supervised learning algorithms based on the characteristics of the dataset and the problem to be solved.
CLO3: Evaluate the performance of a supervised learning algorithm using metrics such as accuracy, precision, recall, and F1 score.
CLO4: Pre-process and prepare data for supervised learning algorithms, including techniques such as feature scaling, normalization, and handling missing data.
CLO5: Apply supervised learning to real-world problems such as image recognition, speech recognition, natural language processing, and predictive maintenance.
CLO6: Understand ethical considerations and potential biases when using supervised learning algorithms in decision-making processes.
Supervised Learning, dataset, regression, algorithms, mapping functions regression, algorithms, mapping functions
Supervised Learning is a type of machine learning in which an algorithm is trained on a labeled dataset. The algorithm learns to make predictions by analyzing the features of the input data and their corresponding labels. In supervised learning, the algorithm is provided with input-output pairs and it tries to learn a mapping function from input to output. The goal of supervised learning is to accurately predict the output for new, unseen input data. Common examples of supervised learning include classification tasks, where the goal is to predict a discrete label, and regression tasks, where the goal is to predict a continuous value.
Introduction to Supervised Learning
Classification vs Regression in Machine Learning
Getting started with Classification
Basic Concept of Classification
Types of Regression Techniques in ML
Gradient Descent algorithm and its variants
Logistic Regression in Machine Learning
Introduction to Support Vector Machines (SVM)
Decision Tree
The importance of taking NOC courses:
This course is designed to train our students to find jobs in the Canadian labour market using the National Occupational Classification (NOC) and its codes. The Government of Canada developed the NOC to categorize occupational information in the Canadian labour market through a standardized framework and a system that can be easily managed, understood, and unified. Canadian Immigration (i.e., IRCC) uses the NOC to classify jobs and occupations according to specific skill levels. Canada's jobs are ranked according to a person's work and the roles and responsibilities of the job.
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Prof. Saranya is the Instructor
at NSRIC Inc. She is also the Associate Professor in Computer Science
Engineering (ENG) at Anna University Colleges. In addition to her current
affiliation with NSRIC, she holds freelance faculty positions in some other
universities. Prof. Saranya is the founder of Algorithmics Computing Centre in
India, She has mentored projects under the Smart India Hackathon for various ministries.
She has published journals in reputed articles such as Springer, and many
journals indexed by Elsevier. She has also published books in Amazon like
Octave by examples, Points to Ponder for Python, and so on. She has also
published book chapters about the updating of recent trends by IGI global
publishing. In 12 years professional career, Dr, Saranya has Served on academic
or administrative committees to deal with institutional policies along with preparing
and delivering lectures to undergraduate and graduate students on topics such
as programming languages, data structures, networking, software design, AI,
Blockchain technologies and so on.
Prof. Saranya earned a B.Tech
in Information Technology from Anna University, India in 2009, and an M.E in Software
Engineering from Anna University in 2011. Dr. Saranya was awarded PhD in Information
and Communication Engineering in 2019 and an MBA(Information Systems) degree in
2014 by Bharathiyar University, India.
| Section Name | Lecture Name | Lecture Date | Lecture Time (Toronto, Canada - EST Time) |
Lecture Time (Local Time) |
|---|---|---|---|---|
| Section I (Current) | Session 1 | Mon-14-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-15-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-18-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-21-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-22-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-25-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-28-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-29-Oct-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-01-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-04-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Upcoming) | Session 1 | Mon-18-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-19-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-22-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-25-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-26-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-29-Nov-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-02-Dec-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-03-Dec-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-06-Dec-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-09-Dec-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-08-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-09-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-12-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-15-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-16-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-19-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-22-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-23-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-26-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-29-Jan-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-12-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-13-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-16-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-19-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-20-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-23-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-26-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-27-Feb-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-01-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-04-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-18-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-19-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-22-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-25-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-26-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-29-Mar-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-01-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-02-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-05-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-08-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-22-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-23-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-26-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-29-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-30-Apr-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-03-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-06-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-07-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-10-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-13-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-27-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-28-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-31-May-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-03-Jun-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-04-Jun-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-07-Jun-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-10-Jun-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-11-Jun-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-14-Jun-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-17-Jun-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-01-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-02-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-05-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-08-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-09-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-12-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-15-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-16-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-19-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-22-Jul-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-05-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-06-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-09-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-12-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-13-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-16-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-19-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-20-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-23-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-26-Aug-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Section I (Previous) | Session 1 | Mon-09-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
| Session 2 | Tue-10-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 3 | Fri-13-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 4 | Mon-16-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 5 | Tue-17-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 6 | Fri-20-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 7 | Mon-23-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 8 | Tue-24-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 9 | Fri-27-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM | |
| Session 10 | Mon-30-Sep-24 | 10:00 AM to 11:00 AM | 09:00 PM to 10:00 PM |
