Intermediate machine learning
Ensemble methods, feature engineering and a complete pipeline, documented and reproducible.
| Duration | 4 jours (28 h) |
|---|---|
| Format | On-site |
| Level | Intermediate |
| Participants | — |
| Price | Sur devis |
| Certificate | Yes |
Who is this course for ?
Technical profiles who have taken the introductory level or have equivalent experience.
What will you be able to do by the end ?
- Apply trees, ensemble methods and clustering algorithms.
- Build useful features and handle categorical variables.
- Tune a model: cross-validation, hyperparameter search, imbalanced classes.
- Assemble a complete, reproducible pipeline.
- Document the work so a colleague can pick it up.
Programme
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Day 1 — Beyond simple models
Decision trees, random forests, ensemble methods. Clustering and unsupervised learning.
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Day 2 — Preparing the variables
Feature engineering, encoding categorical variables, normalisation and data leakage.
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Day 3 — Tuning and validating
Cross-validation, hyperparameter search, imbalanced classes. What a good score does not prove.
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Day 4 — Delivering a pipeline
Assembling a reproducible chain, documentation, and a mini-project on a business dataset from preprocessing to evaluation.
Prerequisites
Introductory machine learning level or equivalent experience. One laptop per participant.
How is the course run ?
Four days built around a single pipeline, enriched at each step until it is deliverable.
Frequently asked questions
Are courses delivered at our offices?
Yes, and that is the format we recommend: your teams work in their own environment on their own data. Remote and hybrid delivery are possible depending on your constraints.
How many participants per session?
We deliberately cap group sizes to keep time for individual support during exercises. The exact number is set in the quote, according to the course and the level of the group.
Do we work on our own real data?
Yes wherever possible, and this is the main difference from generic training. Exercises use your real datasets, which means participants leave with dashboards and automations they can put straight to use.
Is a certificate issued?
Yes, a named certificate is given to each participant at the end of the course, together with the detailed programme covered.
What happens after the course?
The materials, exercise workbooks and working files stay with you. Follow-up support can be included in the quote, to answer the questions that surface once the learning is put into practice.
How much does a training course cost?
The price depends on four things: the course chosen, its length, the number of participants and the location. An in-house session run on your own data is not priced like a short refresher. We send a quote within 48 hours, free and with no commitment, after a thirty-minute conversation to frame the need and the level of the group.
Updated Nov. 10, 2026