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AI

Scikit-Learn

The Scikit-Learn training is an intensive two-day course where 80% of the time is dedicated to practical workshops and 20% to theory.

Duration
16h · 2 days
Ask about the program → See all
Who it's for

Ideal for teams that…

1 Developers and data engineers who want to expand their skills with Scikit-Learn
2 Data analysts who want to apply Scikit-Learn in their projects
3 AI and machine learning enthusiasts who want to start working with Scikit-Learn
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

How to install and configure Scikit-Learn in your work environment

✓

How to build, train, and optimize machine learning models with Scikit-Learn

✓

How to implement advanced models such as decision trees and ensemble methods

✓

How to prepare and deploy Scikit-Learn models in a production environment

Program · 2 modules

What we actually do

M01
Day 1: Introduction to Scikit-Learn and Machine Learning Basics
  • · History and development of Scikit-Learn
  • · Main functions and modules of the library
  • · Installing Scikit-Learn and dependencies
  • · Setting up a working environment (Jupyter Notebook)
  • · Data operations: loading, preprocessing, and analysis
  • · Preparing data for machine learning models
  • · Creating and running basic models (linear regression, classification)
  • · Implementing a linear regression model
  • · Training and evaluating the model on real data
M02
Day 2: More Advanced Techniques and Practical Applications
  • · Decision trees and random forests
  • · Ensemble models (Boosting, Bagging)
  • · Hyperparameter optimization techniques (Grid Search, Random Search)
  • · Cross-validation and model evaluation metrics
  • · Preparing and processing data for classification
  • · Implementing and training models
  • · Exporting models and preparing them for deployment
  • · Deploying models in a production environment
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

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