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Description

This course aims to introduce participants to essential machine learning methods and techniques through an end-to-end machine learning project. The emphasis is placed on practical experience with machine learning using Python programming language, scikit-learn and TensorFlow, as well as on understanding classification and training models.  The course will provide an introduction to artificial Neural Networks, deep learning, convolutional and recurrent neural nets and reinforcement learning.

Notes

This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.

Prerequisites

Pre-requisite Course: YCBS 255

Applies Towards the Following Programs

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Section(s) offered

Section Title
Practical Machine Learning
Language of Delivery
English
Type
In-class Lecture
Days
M
Time
6:00PM to 9:00PM
Dates
Jan 13, 2020 to Feb 24, 2020
Type
In-class Lecture
Days
Sa
Time
9:00AM to 3:00PM
Dates
Feb 29, 2020
Type
In-class Lecture
Days
M
Time
6:00PM to 9:00PM
Dates
Mar 09, 2020 to Mar 23, 2020
Schedule and Location
Contact Hours
35.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,314.80 Click here to get more information
Drop Request Deadline
Jan 13, 2020 to Jan 20, 2020
Transfer Request Deadline
Jan 13, 2020 to Jan 20, 2020
Withdrawal Request Deadline
Jan 20, 2020 to Jan 26, 2020
Section Notes

Course Fee Description

  • Tuition Fee: $1295
  • Career and Transition Services (CATS) Fee: $16.83
  • McGill Writing Centre (MWC) Fee: $2.97

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.

 

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