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
Technology
- Robotics
- IoT
- Data analytics
- Artificial Intelligence
Technique
- Lecture
- Workshops
- Presentation
- Video
- Webinar
- Practical exercices
Channel
- Face to face
- Online
Technology Absortion Cycle
- Awareness of technology
- Configuration
- Implementation
- Operation
- Updates on configuration and operation
Target Group
- Directors
- Plant Manager
- Engineers
Instruction Level
- Foundation
- Intermediate
- Advanced
- Highly Specialized
Sector
- Automotive
- Agriculture
- Computer - Software
- Construction
- Education
- Research & Development
- Energy
Education Level
- Bachelor
- Master
- PhD
- Others:
Capacity
- Single
- 1 to 4
- 5 to 10
Details
Date: Future date to be announced
Durations: 1-3 days
Price: Price to be announced
Project
BridgewayCountries where training is provided
Cities where training is provided
Any European CityLanguages this training can be provided
English
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