Training ObjectivesFamiliarity with Python, its grammar and its syntax. Use and preparation of code modules in python, including the main Machine Learning libraries. Preparation and statistical analysis of raw data of any format. Correct graphical representation of data. Application of the most common and contemporary Machine Learning models: k-Neighbors, hierarchical clustering, decision trees, artificial neural networks, ...
Training ContentsIntroduction to Python. Introduction to Data Analytics. Exploratory Data Analysis. Data processing. Introduction to Machine Learning. Machine Learning (ML) using Python .
Digital Innovation HubsThe Data Cycle Hub
- Data analytics
- Artificial Inteligence
- Practical exercices
- Practical session in lab
- Face to face
Technology Absortion Cycle
- Implementation: supports the implementation and installation of the technology in an industrial setting.
- Computer - Software
- Research & Development
- Ocupational Studies
- 10 to 20
Durations: 1-3 days,
ProjectOthers, Own production
Countries where training is providedSpain
Cities where training is providedValencia
Languages this training can be provided
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