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Leire Ahedo
Este proyecto es un curso práctico y efectivo para aprender a crear modelos de Machine Learning con Python y Azure Notebooks, Aprenderás no solo a crear los modelos, si no que también a ejecutarlos desde el servicio de Notebooks de Azure Machine Learning...
Read more
Este proyecto es un curso práctico y efectivo para aprender a crear modelos de Machine Learning con Python y Azure Notebooks, Aprenderás no solo a crear los modelos, si no que también a ejecutarlos desde el servicio de Notebooks de Azure Machine Learning...
Read more
Este proyecto es un curso práctico y efectivo para aprender a crear modelos de Machine Learning con Python y Azure Notebooks, Aprenderás no solo a crear los modelos, si no que también a ejecutarlos desde el servicio de Notebooks de Azure Machine Learning Service.
Gracias a un enfoque práctico y aplicado, al acabar este proyecto habrás desarrollados tus propios modelos de Machine Learning de regresión, clasificación binaria y multiclase. Y acabarás aprendiendo a crear tus propios modelos desde cero, a evaluarlos y a desplegarlos en el entorno de Azure Notebooks.
Register for this course and see more details by visiting:
OpenCourser.com/course/5ztcz7/aprendizaje
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Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops expertise in machine learning with Python in the Azure environment
Emphasizes a practical approach to building and deploying machine learning models in a real-world environment
Covers essential topics such as regression, binary and multiclass classification, and model evaluation
Instructors are experts in machine learning, providing valuable insights and industry knowledge
Interactive and applied approach allows learners to immediately apply concepts and techniques to their projects
Save this course
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Reviews summary
Excellent course
Feedback on this course has been unanimously positive. Students praise the course, describing it as "excellent".
An excellent course.
"exelente"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Aprendizaje automático con Python y Azure Notebooks with these
activities:
Attend Azure Machine Learning Workshops
Show steps
Enhance your practical understanding of Azure Machine Learning through hands-on workshops.
Browse courses on
Azure Machine Learning
Show steps
-
Identify and register for relevant workshops
-
Attend the workshops and actively participate
Volunteer for Data Science Projects
Show steps
Gain practical experience and contribute to meaningful data science initiatives.
Browse courses on
Data Science
Show steps
-
Find volunteer opportunities related to data science
-
Support data collection, analysis, or model development
Review Python Fundamentals
Show steps
Reinforce your understanding of basic Python concepts to ensure a solid foundation for the course.
Browse courses on
Python
Show steps
-
Review basics of data types, variables, and operators
-
Practice writing simple Python scripts
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Azure Machine Learning Notebooks Tutorials
Show steps
Familiarize yourself with the Azure Machine Learning platform and its notebooks feature.
Browse courses on
Azure Machine Learning
Show steps
-
Follow the official Azure Machine Learning Notebooks tutorials
-
Experiment with the Azure Machine Learning Notebooks environment
Solve Python Code Challenges
Show steps
Strengthen your Python coding skills by solving a variety of challenges.
Browse courses on
Python
Show steps
-
Find online coding platforms or resources
-
Practice solving Python code challenges regularly
Develop a Python Project
Show steps
Apply your Python knowledge and skills by creating a practical project.
Show steps
-
Identify a problem or need that can be addressed with Python
-
Design and plan your project
-
Implement your project using Python
-
Evaluate and refine your project
Participate in Machine Learning Competitions
Show steps
Challenge yourself and gain practical experience by participating in online machine learning competitions.
Show steps
-
Find and register for relevant competitions
-
Develop and submit your machine learning models
-
Analyze results and learn from your experience
Mentor Junior Data Scientists
Show steps
Share your knowledge and support the development of aspiring data scientists.
Browse courses on
Data Science
Show steps
-
Find opportunities to mentor junior data scientists
-
Provide guidance, support, and feedback
Attend Azure Machine Learning Workshops
Show steps
Enhance your practical understanding of Azure Machine Learning through hands-on workshops.
Browse courses on
Azure Machine Learning
Show steps
Show steps
Show steps
- Identify and register for relevant workshops
- Attend the workshops and actively participate
Volunteer for Data Science Projects
Show steps
Gain practical experience and contribute to meaningful data science initiatives.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find volunteer opportunities related to data science
- Support data collection, analysis, or model development
Review Python Fundamentals
Show steps
Reinforce your understanding of basic Python concepts to ensure a solid foundation for the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review basics of data types, variables, and operators
- Practice writing simple Python scripts
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Azure Machine Learning Notebooks Tutorials
Show steps
Familiarize yourself with the Azure Machine Learning platform and its notebooks feature.
Browse courses on
Azure Machine Learning
Show steps
Show steps
Show steps
- Follow the official Azure Machine Learning Notebooks tutorials
- Experiment with the Azure Machine Learning Notebooks environment
Solve Python Code Challenges
Show steps
Strengthen your Python coding skills by solving a variety of challenges.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find online coding platforms or resources
- Practice solving Python code challenges regularly
Develop a Python Project
Show steps
Apply your Python knowledge and skills by creating a practical project.
Show steps
Show steps
Show steps
- Identify a problem or need that can be addressed with Python
- Design and plan your project
- Implement your project using Python
- Evaluate and refine your project
Participate in Machine Learning Competitions
Show steps
Challenge yourself and gain practical experience by participating in online machine learning competitions.
Show steps
Show steps
Show steps
- Find and register for relevant competitions
- Develop and submit your machine learning models
- Analyze results and learn from your experience
Mentor Junior Data Scientists
Show steps
Share your knowledge and support the development of aspiring data scientists.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find opportunities to mentor junior data scientists
- Provide guidance, support, and feedback
Career center
Learners who complete Aprendizaje automático con Python y Azure Notebooks will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models to solve real-world problems. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Machine Learning Engineer.
Data Scientist
Data Scientist
Data Scientists use machine learning and other data analysis techniques to extract insights from data. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Data Scientist.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Software Engineer.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use machine learning and other mathematical techniques to analyze financial data and make investment decisions. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Quantitative Analyst.
Business Analyst
Business Analyst
Business Analysts use data analysis techniques to identify and solve business problems. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Business Analyst.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines to collect, store, and process data. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Data Engineer.
Product Manager
Product Manager
Product Managers lead the development and launch of new products. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Product Manager.
Statistician
Statistician
Statisticians use data analysis techniques to collect, analyze, and interpret data. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Statistician.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical techniques to solve business problems. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Operations Research Analyst.
Financial Analyst
Financial Analyst
Financial Analysts use financial data and analysis techniques to make investment decisions. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Financial Analyst.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Actuary.
Market Researcher
Market Researcher
Market Researchers use data analysis techniques to understand consumer behavior and market trends. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Market Researcher.
Consultant
Consultant
Consultants use their expertise to help businesses solve problems and improve performance. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Consultant.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Entrepreneur.
Teacher
Teacher
Teachers educate students in a variety of subjects. This course will help you build a strong foundation in machine learning concepts and techniques, and you'll learn how to use Python and Azure Notebooks to create and deploy your own machine learning models. This course will help you develop the skills you need to become a successful Teacher.
For more career information including salaries, visit:
OpenCourser.com/course/5ztcz7/aprendizaje
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Aprendizaje automático con Python y Azure Notebooks.
This comprehensive guide to machine learning with Python covers the basics of machine learning, from supervised to unsupervised learning, model evaluation, and deployment. It provides a thorough understanding of the concepts and algorithms used in machine learning.
This practical guide to machine learning covers the basics of machine learning, from data preparation to model deployment. It provides hands-on exercises and examples that demonstrate how to build and deploy machine learning models in the real world.
This comprehensive guide to deep learning with Python covers the basics of deep learning, from neural networks to convolutional neural networks, recurrent neural networks, and more. It provides a thorough understanding of the concepts and algorithms used in deep learning.
This classic textbook in statistical learning covers the fundamentals of machine learning, from linear regression to support vector machines, decision trees, and more. It provides a solid foundation in the theory and algorithms used in machine learning.
This hands-on guide to machine learning for hackers covers the basics of machine learning, from data preparation to model deployment. It provides practical examples and exercises that demonstrate how to build and deploy machine learning models quickly and easily.
This beginner-friendly guide to Python covers the basics of the Python programming language, from data structures to object-oriented programming. It provides a solid foundation in the fundamentals of programming that can be applied to machine learning.
This comprehensive guide to data analysis with Python covers the basics of data analysis, from data cleaning to data visualization. It provides a solid foundation in the tools and techniques used for data analysis.
This comprehensive guide to machine learning with R covers the basics of machine learning, from supervised to unsupervised learning, model evaluation, and deployment. It provides a thorough understanding of the concepts and algorithms used in machine learning.
This practical guide to deep learning with Fastai and PyTorch covers the basics of deep learning, from neural networks to convolutional neural networks, recurrent neural networks, and more. It provides hands-on exercises and examples that demonstrate how to build and deploy deep learning models quickly and easily.
Save
This comprehensive guide to the mathematics of machine learning covers the basics of linear algebra, probability, and calculus. It provides a solid foundation in the mathematical concepts used in machine learning.
This practical guide to machine learning with Python covers the basics of machine learning, from data preparation to model deployment. It provides hands-on exercises and examples that demonstrate how to build and deploy machine learning models in the real world.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5ztcz7/aprendizaje
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Good to know
Develops expertise in machine learning with Python in the Azure environment
Emphasizes a practical approach to building and deploying machine learning models in a real-world environment
Covers essential topics such as regression, binary and multiclass classification, and model evaluation
Instructors are experts in machine learning, providing valuable insights and industry knowledge
Interactive and applied approach allows learners to immediately apply concepts and techniques to their projects
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