Machine Learning Fundamentals with Python Training Course

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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 1990EUR
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 1490EUR
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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 1990EUR 1490EUR
2 1250EUR 950EUR
3 1003EUR 770EUR
4 880EUR 680EUR
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Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
Strasbourg, Kibitzenau Station Mon, 2016-11-14 09:301490EUR / 1990EUR
Lyon, Swisslife TowerMon, 2016-11-14 09:301490EUR / 1990EUR
Limoges, City CenterMon, 2016-11-14 09:301490EUR / 1990EUR
Rennes, Place St AnneTue, 2016-11-15 09:301490EUR / 1990EUR
Grenoble, City Center near the main Train StationWed, 2016-11-16 09:301490EUR / 1990EUR

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