> Study at Ense3 > Double degrees > E3-STU-COURSES
The objective of the course is to provide a comprehensive understanding of the theory and practice of machine learning, primarily in the area of smart energy systems.
At the end of the module, students will be able to:
Lab part
1) Introduction to machine learning
2) Supervised learning (classification, regression)
3) Unsupervised Learning (Clustering)
4) Data Analysis (Pandas-Python)
5) Project: Estimation occupancy & Load forecasting
Practical work part
1) Discovery of database and visualization of data (InfluxDB, Grafana)
2) Analysis of data provided by a real home automation (ExpeSmartHouse)
If 100% distance learning
Evaluation with possible retake (ER): Projects
Evaluation without retake (EN): Exercises and lab reports
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Remedial session
EN : Evaluation without retake
Average of the UE = ER 60% + EN 40%
The exam is given in english only
The course exists in the following branches:
Course ID : 5EU9MLO0
Course language(s):
You can find this course among all other courses.
Date of update September 3, 2020