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Description

Course Number: YCBS 255

This course introduces fundamental statistical machine learning concepts and tools using Python. Emphasis is placed on the following subjects: descriptive statistics, statistical distributions, random number generation, basic data visualization; linear regression; basic classification; error estimation: cross-validation, bias-variance trade-off; shrinkage methods; dimension reduction; beyond linearity: smoothing splines, local regression, additive models; tree and ensemble methods; powerful classifiers; unsupervised 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

Students must have completed the Introduction to Python for Data Science course prior to registering for Computational Applied Statistics (YCBS 255). As part of the registration process, you will be asked to provide proof of Python course completion.

Applies Towards the Following Programs

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Section(s) offered

Section Title
Statistical Machine Learning
Language of Delivery
English
Type
In-class Lecture
Days
T
Time
6:00PM to 9:00PM
Dates
Nov 12, 2019 to Dec 17, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Nov 23, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Dec 07, 2019
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,114.80 Click here to get more information
Drop Request Deadline
May 31, 2019 to Nov 19, 2019
Transfer Request Deadline
May 31, 2019 to Nov 19, 2019
Withdrawal Request Deadline
Nov 19, 2019 to Nov 23, 2019
Instructors
Section Notes

Course Fee Description

  • Tuition Fee: $1095
  • 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.
Section Title
Statistical Machine Learning
Language of Delivery
English
Type
In-class Lecture
Days
Th
Time
6:00PM to 9:00PM
Dates
Nov 14, 2019 to Dec 19, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Nov 23, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Dec 07, 2019
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,114.80 Click here to get more information
Drop Request Deadline
May 30, 2019 to Nov 23, 2019
Transfer Request Deadline
May 30, 2019 to Nov 23, 2019
Withdrawal Request Deadline
Nov 23, 2019 to Nov 28, 2019
Instructors
Section Notes

Course Fee Description

  • Tuition Fee: $1095
  • 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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