Introduction to machine learning with python
84,00 €
This course aims to introduce the principles and methods of machine learning (mainly supervised machine learning on tabular data) with Python. The first steps will be to use and assess trained models. Then the course will focus on the methods to train a model. Data loading and pre-processing, including feature engineering will also be covered as they are critical stages for successful model training. Basics of non-supervised learning will also be covered as a bonus.
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Start date
October 25, 2023
End date
October 27, 2023
Language(s) of the training
English
Languages spoken by the coach(es)
English, French
Instructor(s)
Noura Benhajji
Contents
- Introduction to Machine Learning: Understanding its concepts, principles, and types.
- Supervised Learning: exploration of supervised learning methods with Python.
- Model Assessment: Techniques for evaluating trained models.
- Data Pre-processing: Methods for cleaning, transforming, and preparing data for model training.
- Feature Engineering: Techniques for creating informative and relevant features for machine learning algorithms.
- Basics of Unsupervised Learning: Brief overview and practical applications of unsupervised learning.
- Hands-On Exercises: Practical assignments using Python for training, testing, and evaluating machine learning models.
Objective
This module introduces the principles and techniques of machine learning, specifically focusing on supervised learning with Python. It covers model assessment, training, data pre-processing, feature engineering, and provides an overview of unsupervised learning.
Learning Outcomes
Upon completion of this course, learners will be able to :
- prepare tabular datasets for model training
- train standard supervised model for regression and classification
- use trained models in a simple dashboarding application
Schedule
This course has a total duration of 21 hours and takes place over 3 days
- 25-10-2023: 09:00 – 17:00
- 26-10-2023: 09:00 – 17:00
- 27-10-2023: 09:00 – 17:00
Format and Location
This course takes place ON-SITE
Terres Rouges building
14, porte de France
L-4360 Esch/Alzette
Level
Intermediate
Prerequisites
Basics of data-science with python
Additional Info
Certification
This training does not have any assessment or exams; a certificate of participation will be issued to participants.