Introduction to data-science and machine learning with python
This learning track provides a first dive in the machine learning world with python. It starts with the basics of data-science (data-analysis, data-wrangling and data-visualization). Then we move to the basics of machine learning to finish with an introduction to deep learning.
Learning Outcomes
Utilize Python libraries such as NumPy, pandas, and matplotlib for data manipulation, computations, and visualization.
Preprocess and manipulate datasets effectively for data analysis.
Interpret and represent complex data using Python's data visualization techniques.
Solve practical, data-driven problems using Python.
Prepare tabular datasets for model training
Train standard supervised model for regression and classification
Use trained models in a simple dashboard application
Train deep learning model in simple setting
Do image classification with deep learning
Understand the basic theory of deep neural networks
Grasp the various subfields of deep learning
Organised By
Digital Learning Hub Luxembourg
Prerequisites
there are no prerequisites
Courses
This course is a learning track, it includes all of the following trainings.
ESCO Occupations
Available Edition(s):