Machine learning with Python
A first model trained and evaluated on a business case, with scikit-learn.
| Duration | 3 jours (21 h) |
|---|---|
| Format | On-site |
| Level | Beginner |
| Participants | — |
| Price | Sur devis |
| Certificate | Yes |
Who is this course for ?
Technical profiles and analysts with Python basics.
What will you be able to do by the end ?
- Recognise the problems that call for machine learning.
- Understand a model's life cycle, from data to evaluation.
- Train a regression and a classification with scikit-learn.
- Evaluate a model honestly: metrics, overfitting, validation.
- Deliver a complete mini-project on a business dataset.
Programme
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Day 1 — The foundations
Statistics useful to machine learning. Introduction to scikit-learn and to a model's life cycle.
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Day 2 — First models
Supervised regression and classification. Preparing variables, training, first predictions.
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Day 3 — Evaluating and delivering
Metrics, train-test separation, overfitting, validation. A guided mini-project from end to end.
Prerequisites
Python basics, from the data analysis module or equivalent. One laptop per participant.
How is the course run ?
Short talks and workshops alternate. The final mini-project uses a dataset close to the participants' own work.
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