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Introduction to Machine Learning with Python

Initiative Description

A tour of the use of python, from the syntactic base to the advanced functionality oriented to data analysis. Tools that will allow the student to enrich and specialize their own profile are provided.


Training Objectives

Familiarity 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 Contents

Introduction to Python. Introduction to Data Analytics. Exploratory Data Analysis. Data processing. Introduction to Machine Learning. Machine Learning (ML) using Python .

Digital Innovation Hubs

The Data Cycle Hub


  • - Data analytics
  • - Artificial Inteligence


  • Presentation
  • 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.

Target Group

  • Other

Instruction Level

  • Advanced


  • Automotive
  • Chemical
  • Computer - Software
  • Research & Development
  • Energy
  • Industry, Health, Transport

Education Level

  • Ocupational Studies
  • Bachelor


  • 10 to 20


  • Own production

Countries where training is provided

  • Spain

Cities where training is provided

  • Valencia

Languages this training can be provided

  • Spanish