Machine Learning Fundamentals with Python Training Course

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Course Code

mlfunpython

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

Regression

  • Linear regression
  • Generalizations and Nonlinearity
  • Exercises

Classification

  • 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
(103)
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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Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
BC, Victoria - The AtriumTue, Dec 27 2016, 9:30 am$3890 / $6590
AB, Calgary – One Executive PlaceTue, Dec 27 2016, 9:30 am$3890 / $6390
ON, Mississauga - Robert Speck 2Wed, Dec 28 2016, 9:30 am$3890 / $6430
ON, Oakville - Glen AbbeyWed, Dec 28 2016, 9:30 am$3890 / $6250
ON, Scarborough – 10 Milner Business CourtMon, Jan 2 2017, 9:30 am$3890 / $6250

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Web Application Performance Testing with JMeter Remote Course Thu, Dec 15 2016, 9:30 am $1822 / N/A
WebServices with SOAP and WSDL Basics Remote Course Tue, Dec 20 2016, 9:30 am $3406 / N/A
Selenium for Victims of Manual Testing ON, Ottawa - Fairmont Chateau Laurier Tue, Jan 17 2017, 9:30 am $3158 / $5858

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