Machine Learning Fundamentals with Python Training Course

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Course Language

This course is delivered in English.

Course Code


Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

Knowledge of Python programming language. Basic familiarity with statistics and linear algebra is recommended.

Overview Overview

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Course Outline Course Outline

Introduction to Applied Machine Learning

  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

Machine Learning with Python

  • Choice of libraries
  • Add-on tools


  • Linear regression
  • Generalizations and Nonlinearity
  • Exercises


  • Bayesian refresher
  • Naive Bayes
  • Logistic regression
  • K-Nearest neighbors
  • Exercises

Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Exercises

Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From $6190
Private Classroom Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From $3890
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The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Remote
1 $6190 $3890
2 $3515 $2290
3 $2623 $1757
4 $2178 $1490
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Course Discounts

Course Venue Course Date Course Price [Remote/Classroom]
Strategic Planning in Practice ON, Toronto - University & Dundas Mon, Oct 24 2016, 9:30 am $3406 / $6107
Corporate Governance AB, Calgary - Sun Life Fri, Nov 4 2016, 9:30 am $1822 / $3922

Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
BC, Vancouver - YaletownMon, Nov 7 2016, 9:30 am$3890 / $6390
NS, Halifax - Purdy's WharfMon, Nov 7 2016, 9:30 am$3890 / $6390
BC, Vancouver - World Trade CenterMon, Nov 7 2016, 9:30 am$3890 / $6290
AB, Calgary – One Executive PlaceMon, Nov 14 2016, 9:30 am$3890 / $6390
BC, Victoria - The AtriumTue, Nov 15 2016, 9:30 am$3890 / $6590

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