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Snehan Kekre
In this project, we will use Azure Machine Learning Studio to build a predictive model without writing a single line of code! Specifically, we will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA). You will be provided with instructions on how to set up your Azure Machine Learning account with $200 worth of free credit to get started with running your experiments!
Read more
In this project, we will use Azure Machine Learning Studio to build a predictive model without writing a single line of code! Specifically, we will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA). You will be provided with instructions on how to set up your Azure Machine Learning account with $200 worth of free credit to get started with running your experiments!
Read more
In this project, we will use Azure Machine Learning Studio to build a predictive model without writing a single line of code! Specifically, we will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA). You will be provided with instructions on how to set up your Azure Machine Learning account with $200 worth of free credit to get started with running your experiments!
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed.
Notes:
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/twtffi/predictive
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What's inside
Syllabus
Predictive Modelling with Azure Machine Learning Studio
Welcome to this project-based course on Azure Machine Learning Studio. In this course, you will use Azure Machine Learning Studio to build a predictive model without writing a single line of code! Specifically, we will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA). You will be provided with instructions on how to set up your Azure Machine Learning account with $200 worth of free credit to get started with running your experiments!
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores using Azure Machine Learning Studio to build a predictive model without writing code, which is accessible to learners with less programming experience
Predicts flight delays using weather data, showcasing a real-world application of machine learning
Provides hands-on labs and interactive materials, enabling learners to apply the concepts practically
Taught by Snehan Kekre, an experienced instructor in machine learning
Emphasizes the usage of Azure Machine Learning Studio, which may limit the flexibility and customization options for experienced learners
Specific to predicting flight delays, which may not cover a wide range of machine learning applications
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Reviews summary
Azure machine learning for beginners
Learners say this beginner-friendly course is a great way to learn the basics of Azure Machine Learning Studio. They enjoy the practical, hands-on assignments and find the explanations clear and easy to follow. However, some learners mention that the course could be improved with more in-depth explanations of the concepts and the reasons behind the choices made in the assignments.
Suitable for those with little to no prior knowledge.
"good for beginners like me"
"It's good for a person who really doesn't know anything about Azure."
"Introduction to Micrsoft Azure ML pipeline's base functions without programming skills."
Concepts explained in a clear and easy-to-understand way.
"very clear explanation"
"Well Taught and Nicely Explained."
"Nice and crisp explanation..!!"
Engaging assignments with practical applications.
"Amazing ML project. I'm so excited by doing my first hands on project in Coursera. "
"Very informative course. Great way to apply machine learning skills."
"We got great opportunity to practice Azure Machine Learning environment. Thank you."
Could benefit from more in-depth explanations of concepts and choices.
"If you are a beginner the logic behind the choices operated in the project would be a bit obscure and difficult to understand."
"Good for a basic working knowledge of Azure ML. It would be really great if the explanations are given for the choice of variables to edit, join or work upon."
"Good coverage of data manipulation but way too brief on model build/test/train."
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 Predictive Modelling with Azure Machine Learning Studio with these
activities:
Azure Machine Learning Resource Collection
Show steps
Gather and organize valuable resources for further learning and reference.
Browse courses on
Azure Machine Learning
Show steps
-
Compile a list of relevant articles, tutorials, and documentation.
-
Create a shared online repository or document.
-
Share your compilation with others.
Azure User Group Meeting
Show steps
Connect with other Azure users and learn about their experiences with machine learning.
Browse courses on
Azure
Show steps
-
Attend an Azure User Group meeting in your area.
-
Introduce yourself and your interests.
-
Participate in discussions and ask questions.
Python Refresher
Show steps
Review core Python concepts before embarking on machine learning tasks.
Browse courses on
Python
Show steps
-
Review data types, variables, and control flow.
-
Practice writing simple Python scripts.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Cleaning and Preprocessing Refresher
Show steps
Strengthen your data manipulation skills for cleaner, more accurate machine learning models.
Browse courses on
Data Cleaning
Show steps
-
Import and explore a dataset using Python.
-
Detect and handle missing values.
-
Deal with outliers and duplicate data.
Azure Machine Learning Studio Deep Dive
Show steps
Expand your knowledge of the Azure Machine Learning Studio platform.
Browse courses on
Azure Machine Learning Studio
Show steps
-
Complete tutorials on Azure Machine Learning Studio's interface and features.
-
Explore different machine learning algorithms and their applications.
-
Learn best practices for deploying and managing machine learning models.
Get Technical
Show steps
Supplement the theoretical concepts discussed in the course with a practical, hands-on approach to machine learning.
View
Hands-On Machine Learning with Scikit-Learn,...
on Amazon
Show steps
-
Dive into the fundamentals of machine learning with Scikit-Learn, Keras, and TensorFlow.
-
Explore real-world datasets and apply machine learning techniques to solve practical problems.
Flight Delay Prediction Project
Show steps
Apply your learning by building a predictive model to forecast flight delays using real-world data.
Browse courses on
Predictive Modelling
Show steps
-
Choose a dataset and explore the features.
-
Train and evaluate different machine learning models.
-
Deploy your model and track its performance.
Machine Learning Hackathon
Show steps
Collaborate with others to solve a real-world problem using machine learning.
Browse courses on
Machine Learning
Show steps
-
Form a team and brainstorm ideas.
-
Collect and prepare data.
-
Build and evaluate machine learning models.
-
Present your solution and findings.
Azure Machine Learning Resource Collection
Show steps
Gather and organize valuable resources for further learning and reference.
Browse courses on
Azure Machine Learning
Show steps
Show steps
Show steps
- Compile a list of relevant articles, tutorials, and documentation.
- Create a shared online repository or document.
- Share your compilation with others.
Azure User Group Meeting
Show steps
Connect with other Azure users and learn about their experiences with machine learning.
Browse courses on
Azure
Show steps
Show steps
Show steps
- Attend an Azure User Group meeting in your area.
- Introduce yourself and your interests.
- Participate in discussions and ask questions.
Python Refresher
Show steps
Review core Python concepts before embarking on machine learning tasks.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review data types, variables, and control flow.
- Practice writing simple Python scripts.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Cleaning and Preprocessing Refresher
Show steps
Strengthen your data manipulation skills for cleaner, more accurate machine learning models.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Import and explore a dataset using Python.
- Detect and handle missing values.
- Deal with outliers and duplicate data.
Azure Machine Learning Studio Deep Dive
Show steps
Expand your knowledge of the Azure Machine Learning Studio platform.
Browse courses on
Azure Machine Learning Studio
Show steps
Show steps
Show steps
- Complete tutorials on Azure Machine Learning Studio's interface and features.
- Explore different machine learning algorithms and their applications.
- Learn best practices for deploying and managing machine learning models.
Get Technical
Show steps
Supplement the theoretical concepts discussed in the course with a practical, hands-on approach to machine learning.
View
Hands-On Machine Learning with Scikit-Learn,...
on Amazon
Show steps
Show steps
Show steps
- Dive into the fundamentals of machine learning with Scikit-Learn, Keras, and TensorFlow.
- Explore real-world datasets and apply machine learning techniques to solve practical problems.
Flight Delay Prediction Project
Show steps
Apply your learning by building a predictive model to forecast flight delays using real-world data.
Browse courses on
Predictive Modelling
Show steps
Show steps
Show steps
- Choose a dataset and explore the features.
- Train and evaluate different machine learning models.
- Deploy your model and track its performance.
Machine Learning Hackathon
Show steps
Collaborate with others to solve a real-world problem using machine learning.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Form a team and brainstorm ideas.
- Collect and prepare data.
- Build and evaluate machine learning models.
- Present your solution and findings.
Career center
Learners who complete Predictive Modelling with Azure Machine Learning Studio will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their expertise in data analysis, machine learning, and statistics to solve complex business problems. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Data Scientists develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Data Scientists can gain valuable experience in data analysis, machine learning, and predictive modelling, which are essential skills for success in this field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Machine Learning Engineers develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Machine Learning Engineers can gain valuable experience in machine learning model development and deployment, which are essential skills for success in this field.
Statistician
Statistician
Statisticians use their expertise in data analysis, statistics, and probability to solve real-world problems. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Statisticians develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Statisticians can gain valuable experience in data analysis, predictive modelling, and statistical modelling, which are essential skills for success in this field.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their expertise in mathematics, statistics, and computer programming to develop and implement financial models. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Quantitative Analysts develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Quantitative Analysts can gain valuable experience in data analysis, predictive modelling, and financial modelling, which are essential skills for success in this field.
Data Analyst
Data Analyst
A Data Analyst uses their expertise in data analysis techniques to transform raw data into information that can help businesses make better decisions. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Data Analysts develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models without writing a single line of code. By learning how to use this platform, Data Analysts can gain valuable experience in data analysis and predictive modelling, which are essential skills for success in this field.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use their expertise in data analysis and visualization to help businesses make better decisions. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Business Intelligence Analysts develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Business Intelligence Analysts can gain valuable experience in data analysis and predictive modelling, which are essential skills for success in this field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their expertise in mathematics, statistics, and computer programming to solve complex business problems. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Operations Research Analysts develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Operations Research Analysts can gain valuable experience in data analysis, predictive modelling, and optimization, which are essential skills for success in this field.
Software Engineer
Software Engineer
Software Engineers design, develop, and implement software applications. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Software Engineers develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Software Engineers can gain valuable experience in data analysis, predictive modelling, and software development, which are essential skills for success in this field.
Data Architect
Data Architect
Data Architects design and implement data management solutions. This course on Predictive Modelling with Azure Machine Learning Studio can help aspiring Data Architects develop the skills they need to succeed in this role, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Data Architects can gain valuable experience in data analysis, predictive modelling, and data management, which are essential skills for success in this field.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course on Predictive Modelling with Azure Machine Learning Studio may be helpful to aspiring Database Administrators, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Database Administrators can gain valuable experience in data analysis and predictive modelling, which can be helpful for success in this field.
Cloud Architect
Cloud Architect
Cloud Architects design and implement cloud computing solutions. This course on Predictive Modelling with Azure Machine Learning Studio may be helpful to aspiring Cloud Architects, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Cloud Architects can gain valuable experience in data analysis and predictive modelling, which can be helpful for success in this field.
Business Analyst
Business Analyst
Business Analysts use their expertise in business analysis techniques to help businesses make better decisions. This course on Predictive Modelling with Azure Machine Learning Studio may be helpful to aspiring Business Analysts, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Business Analysts can gain valuable experience in data analysis and predictive modelling, which can be helpful for success in this field.
Financial Analyst
Financial Analyst
Financial Analysts use their expertise in financial analysis techniques to help businesses make better decisions. This course on Predictive Modelling with Azure Machine Learning Studio may be helpful to aspiring Financial Analysts, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Financial Analysts can gain valuable experience in data analysis and predictive modelling, which can be helpful for success in this field.
Product Manager
Product Manager
Product Managers plan and execute product development. This course on Predictive Modelling with Azure Machine Learning Studio may be helpful to aspiring Product Managers, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Product Managers can gain valuable experience in data analysis and predictive modelling, which can be helpful for success in this field.
Project Manager
Project Manager
Project Managers plan and execute projects. This course on Predictive Modelling with Azure Machine Learning Studio may be helpful to aspiring Project Managers, as it provides hands-on experience in using Azure Machine Learning Studio to build predictive models. By learning how to use this platform, Project Managers can gain valuable experience in data analysis and predictive modelling, which can be helpful for success in this field.
For more career information including salaries, visit:
OpenCourser.com/course/twtffi/predictive
Reading list
We've selected 15 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
Predictive Modelling with Azure Machine Learning Studio.
Provides a comprehensive overview of machine learning, with a focus on practical implementation using the latest tools and techniques. It would be a valuable resource for learners who want to gain a solid understanding of the state-of-the-art in machine learning.
Save
Provides a comprehensive overview of deep learning, covering the latest advances in the field. It would be a valuable resource for learners who want to stay up-to-date with the state-of-the-art in deep learning.
Provides a comprehensive overview of machine learning in the cloud using Microsoft Azure.
Provides a comprehensive overview of machine learning concepts and techniques, with a focus on practical implementation using popular Python libraries. It would be a valuable resource for learners looking to gain a deeper understanding of the underlying principles of machine learning.
Provides a comprehensive overview of machine learning algorithms, including both supervised and unsupervised learning. It would be a good choice for learners who want to gain a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It would be a valuable resource for learners who want to gain a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive overview of reinforcement learning, a type of machine learning that involves training agents to make decisions in an environment. It would be a valuable resource for learners who are interested in this specialized area of machine learning.
Covers a wide range of machine learning topics, with a focus on practical implementation using Python. It would be a good choice for learners who want to gain a solid understanding of the technical aspects of machine learning.
Save
Provides a comprehensive overview of computer vision, covering a wide range of topics including image processing, object recognition, and scene understanding. It would be a valuable resource for learners who are interested in this specialized area of machine learning.
Save
Covers data mining techniques, including machine learning algorithms, with a focus on implementation using the R programming language. It would be a good choice for learners who want to gain a deeper understanding of data mining and its applications.
Focuses specifically on deep learning and provides a practical guide to building and training deep learning models using Keras, a high-level neural networks API written in Python.
Provides a comprehensive overview of natural language processing (NLP), with a focus on implementation using the Python programming language. It would be a good choice for learners who want to gain a deeper understanding of NLP and its applications.
Provides a comprehensive overview of machine learning concepts and techniques, with a focus on implementation using the R programming language. It would be a valuable resource for learners who prefer to use R for their machine learning projects.
Provides a practical guide to machine learning for programmers and data scientists. It would be a good choice for learners who want to gain a quick overview of the field and start applying machine learning techniques to their own projects.
Is designed for complete beginners in machine learning and provides a gentle introduction to the basics. It would be suitable for learners who need to build a foundation before diving into more advanced topics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/twtffi/predictive
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Snehan Kekre
Language
English
Good to know
Explores using Azure Machine Learning Studio to build a predictive model without writing code, which is accessible to learners with less programming experience
Predicts flight delays using weather data, showcasing a real-world application of machine learning
Provides hands-on labs and interactive materials, enabling learners to apply the concepts practically
Taught by Snehan Kekre, an experienced instructor in machine learning
Emphasizes the usage of Azure Machine Learning Studio, which may limit the flexibility and customization options for experienced learners
Specific to predicting flight delays, which may not cover a wide range of machine learning applications
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