Trainevo

Training Services

Machine learning with Python

Reference: Trainevo-092022-IT- 10
Domain: IT


LANGUAGE (S):
En FR
DURATION :
5 days
Document

This training allows you to acquire operational skills in machine learning and to become familiar with the main techniques while emphasizing good practices. The training also includes a practice in Python for each technique covered.

Anyone wishing to acquire operational skills in machine learning.

Prerequisite:

Knowledge of Python.

Elements of statistics and linear algebra.

Acquire the fundamental concepts of machine learning.

Acquire operational skills to lead a business project involving machine learning.

Be aware of the best practices of machine learning and data analysis.

Introduction to Machine Learning

  • Fundamentals of Artificial Intelligence
  • Machine learning principles and learning typologies
  • Classification and regression

Linear models

  • Linear regression
  • Diagnostic techniques
  • Overlearning and regularization
  • Lasso and Ridge regressions
  • Logistic regression
  • Practice in Python

Nonlinear machine learning models

  • Decision trees
  • Random Forests
  • Gradient Boosting
  • Support Vector Machine (SVM)
  • K nearest neighbours (KNN)
  • K-means
  • Principal Component Analysis (PCA)
  • Practice in Python

Template Selection

  • Selection techniques for linear models
  • Cross-validation
  • Best practices
  • Practice in Python

Introduction to deep learning

  • Principles of deep learning
  • Neural networks
  • Training of classical neural networks
  • Typologies of neural networks (CNN, RNN, GNN, etc.)
  • Modern deep learning
  • Practice in Python

Machine learning project

 

The training includes a theoretical part and a practice in Python of each technique covered.

Enterprise use cases.

Submission of a certificate of attendance.

Address: 19 rue de l'industrie, 8069, Bertrange

For in-company training, please contact us.

Price

1600 € Tax free / Participant

Subscription request

Please fill in all mandatory fields !
Thank you for your registration. Your request has been sent successfully. We will get back to you as soon as possible to confirm your registration.