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Professional training course

Machine Learning and Predictive Models

With advancements in technology, predictive models are now accessible to a wide range of users. This course provides a comprehensive overview of supervised Machine…

  • 5 daysClassroom
  • 14Upcoming dates
  • 7Cities
  • £2,840Fees from
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Machine Learning and Predictive Models
Next classroom session Munich 16 - 20 Nov 2026 · £3,450 Also available Amsterdam 7 - 11 Dec 2026 · £4,250

Course overview

Why Attend

With advancements in technology, predictive models are now accessible to a wide range of users. This course provides a comprehensive overview of supervised Machine Learning algorithms and their critical role in enhancing predictions across industries and organizations.

Participants will explore various models across different technologies, including SAS, Statistica, and SPSS. By the end of the course, they will be equipped to evaluate and select the most suitable solutions and technical packages tailored to their organization's needs, becoming expert practitioners in the field.

Course Methodology

This course includes interactive discussion and the use of exercises and case studies. Each Machine Learning algorithm is supported by its own case study with step-by-step outputs that go in parallel with its multi-stage analysis. All algorithms are detailed with sequential screen shot applications on comparative technologies such as SPSS, SAS, Statistica and Excel.

Course Objectives

By the end of the course, participants will be able to:

  • Gain a clear understanding of Machine Learning concepts
  • Differentiate between Data Analysis and Machine Learning methodologies
  • Apply testing and validation techniques to Machine Learning models
  • Present an overview of optimal analytic solutions
  • Build and fine-tune predictive models for accurate estimations
Target Audience

Any level of professional interested in how Machine Learning can assist their organization, would benefit from this course. These include professionals from industries including, but not limited to, banking, insurance, retail, government, manufacturing, healthcare, telecom, and airlines.


Target Competencies
  • Predictive Analysis
  • Predictive Models
  • Data Analysis
  • Data Analytic Models


Course outline

  1. 1Day 1: Data Analysis and Simple Regression
    • Fundamentals of Data Analysis Logic
    • Comparing two groups: Means and proportions testing
    • Visualizing group profiles in a single chart
    • Analyzing multiple groups: Means and proportions testing
    • Profiling multiple groups in one chart
    • Introduction to Simple Regression
    • Regression vs. Correlation
    • Sensitivity analysis for quantitative variables
  2. 2Day 2: Multiple and Logistic Regressions
    • Overview of Machine Learning principles
    • Understanding Gradient Descent logic
    • Differences between Multiple and Simple Regression
    • Variability analysis in estimations
    • Utilizing dummy variables in models
    • Key distinctions between Logistic and Multiple Regressions
    • Simplifying complex models through Stepwise Regression
  3. 3Day 3: Discriminant Analysis
    • Optimized profiling techniques
    • Two-Group Discriminant Function Analysis
    • Case attribution and model evaluation
    • Classification functions and Mahalanobis squared distances
    • Probability-based methods and model reduction
    • Generalized Discriminant Analysis
  4. 4Day 4: Decision Trees
    • Introduction to Decision Trees
    • Binary Trees and their quality assessment
    • Rules and techniques for pruning
    • CART Models: Classification and Regression Trees
    • CHAID Trees and Random Forest Trees
  5. 5Day 5: Nearest Neighbor, Bayesian, Neural Network and Deep Learning
    • Understanding conditional probabilities for prediction
    • Prediction using probability models
    • Distance-based predictions (Nearest Neighbor)
    • K-Nearest Neighbors methodology
    • Neural Network models: Weights, hidden layers, pros, and cons
    • Introduction to Deep Learning concepts
    • Overview of Big Data principles

Schedule

Dates and fees

14 upcoming dates in 7 cities. Fees are per delegate; bring colleagues and every seat is discounted.

All dates as PDF
November 2026
16NOV 16 - 20 Nov 2026Mon to Fri · 5 daysNext session
Germany flag MunichGermany · Classroom
£3,450per delegate2+ people: £2,760 each
Register
December 2026
7DEC 7 - 11 Dec 2026Mon to Fri · 5 days
Netherlands flag AmsterdamNetherlands · Classroom
£4,250per delegate2+ people: £3,400 each
Register
January 2027
11JAN 11 - 15 Jan 2027Mon to Fri · 5 days
South Africa flag Cape TownSouth Africa · Classroom
£2,840per delegate2+ people: £2,272 each
Register
February 2027
8FEB 8 - 12 Feb 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
Register
March 2027
8MAR 8 - 12 Mar 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register
April 2027
12APR 12 - 16 Apr 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register
May 2027
10MAY 10 - 14 May 2027Mon to Fri · 5 days
Italy flag RomeItaly · Classroom
£4,250per delegate2+ people: £3,400 each
Register
June 2027
14JUN 14 - 18 Jun 2027Mon to Fri · 5 days
Germany flag MunichGermany · Classroom
£4,250per delegate2+ people: £3,400 each
Register
July 2027
12JUL 12 - 16 Jul 2027Mon to Fri · 5 days
Netherlands flag AmsterdamNetherlands · Classroom
£4,250per delegate2+ people: £3,400 each
Register
August 2027
9AUG 9 - 13 Aug 2027Mon to Fri · 5 days
France flag ParisFrance · Classroom
£4,500per delegate2+ people: £3,600 each
Register
September 2027
13SEP 13 - 17 Sep 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
Register
October 2027
11OCT 11 - 15 Oct 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register
November 2027
8NOV 8 - 12 Nov 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
Register
December 2027
13DEC 13 - 17 Dec 2027Mon to Fri · 5 days
Italy flag RomeItaly · Classroom
£4,250per delegate2+ people: £3,400 each
Register

Questions

Frequently asked questions

How long is the Machine Learning and Predictive Models course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Machine Learning and Predictive Models course?

The next public date is 16 - 20 Nov 2026 in Munich. There are 14 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Munich, Amsterdam, Cape Town, Frankfurt, Barcelona, Rome, Paris.

How much does the course cost?

Fees start from £2,840 per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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