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Snehan Kekre
This is a hands-on, guided project on Predictive Analytics for Business with H2O in R. By the end of this project, you will be able apply machine learning and predictive analytics to solve a business problem, explain and describe automatic machine learning, perform automatic machine learning (AutoML) with H2O in R. We will take a data-driven approach to predict the success of bank telemarketing.
Read more
This is a hands-on, guided project on Predictive Analytics for Business with H2O in R. By the end of this project, you will be able apply machine learning and predictive analytics to solve a business problem, explain and describe automatic machine learning, perform automatic machine learning (AutoML) with H2O in R. We will take a data-driven approach to predict the success of bank telemarketing.
Read more
This is a hands-on, guided project on Predictive Analytics for Business with H2O in R. By the end of this project, you will be able apply machine learning and predictive analytics to solve a business problem, explain and describe automatic machine learning, perform automatic machine learning (AutoML) with H2O in R. We will take a data-driven approach to predict the success of bank telemarketing.
H2O's AutoML automates the process of training and tuning a large selection of models, allowing the user to focus on other aspects of the data science and machine learning pipeline such as data pre-processing, feature engineering and model deployment.
To successfully complete the project, we recommend that you have prior experience with programming in R, basic machine learning theory, and have trained ML models in R. We will not be exploring how any particular model works nor dive into the math behind them. Instead, we assume you have this foundational knowledge and want to learn to use H2O in R for predictive analytics.
Note: 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/7hc5dj/predictive
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What's inside
Syllabus
Predictive Analytics for Business with H2O and R
Welcome to H2O's AutoML automates the process of training and tuning a large selection of models, allowing the user to focus on other aspects of the data
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
If this course teaches versions of a software or tool that are completely deprecated and no longer supported (examples include Python 2.7, Android 10, Windows XP) [dealbreaker]
Teaches skills, knowledge, and/or tools that are highly relevant to industry [positive]
Taught by Snehan Kekre, who are recognized for their work in x [positive]
Examines x, which is highly relevant to y [positive]
Develops x and y, which are core skills for z [positive]
Builds a strong foundation for beginners [positive]
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Reviews summary
Well-recommended h2o course
Learners say this engaging course is a well prepared and highly recommended introduction to H2O by an approachable instructor. Many find the material to be well-paced and easy to understand. The intermediate-level course leverages your working knowledge of R and offers projects both in the cloud and on your computer. Your working knowledge of JDK is helpful when completing projects on your computer.
Many learners comment on the well-prepared nature of the course.
"This is a well-prepared guided project."
"Well prepared and greatly explained by the instructor."
"As this course is for intermediate users, it is advisable to have some R background indeed."
This course is designed for intermediate users and may prove difficult without a working knowledge of R.
"As this course is for intermediate users, it is advisable to have some R background indeed."
Several learners enjoyed the beginner-friendliness and logical flow of the course.
"This is a beautiful course"
"Well taught, and approachable intro to h2o tool."
"Very good project i highly recommand it to all person who want to learn h2o automl easy to understand"
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 Analytics for Business with H2O in R with these
activities:
Explore H2O Documentation and Tutorials
Show steps
Provides exposure to additional resources and examples of using H2O for predictive analytics.
Show steps
-
Access the H2O documentation website.
-
Explore H2O tutorials and examples.
Review Machine Learning Fundamentals
Show steps
Strengthens foundational understanding of machine learning concepts and techniques.
Show steps
-
Review online resources or textbooks on machine learning.
Solve Practice Problems on H2O AutoML
Show steps
Solidifies understanding of H2O AutoML and its applications through practical problem-solving.
Show steps
-
Find practice problems online or in textbooks.
-
Apply H2O AutoML to solve the problems.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Predictive Model in R
Show steps
Develops practical skills in building predictive models using R.
Browse courses on
R Programming
Show steps
-
Import data.
-
Preprocess and explore data.
-
Build and evaluate a predictive model.
Implement Predictive Analytics Workflow
Show steps
Reinforces understanding of the machine learning pipeline and predictive analytics workflow.
Browse courses on
Predictive Analytics
Show steps
-
Practice implementing a predictive analytics workflow using H2O AutoML.
H2O AutoML Walkthrough
Show steps
Provides hands-on experience with H2O's automated machine learning (AutoML) feature.
Browse courses on
Machine Learning
Show steps
-
Follow the Coursera H2O AutoML Walkthrough
Create a Predictive Analytics Dashboard
Show steps
Applies knowledge of predictive analytics to create a visual representation of insights gained.
Browse courses on
Data Visualization
Show steps
-
Gather and prepare data for visualization.
-
Select appropriate visualization techniques.
-
Design and develop the dashboard.
Explore H2O Documentation and Tutorials
Show steps
Provides exposure to additional resources and examples of using H2O for predictive analytics.
Show steps
Show steps
Show steps
- Access the H2O documentation website.
- Explore H2O tutorials and examples.
Review Machine Learning Fundamentals
Show steps
Strengthens foundational understanding of machine learning concepts and techniques.
Show steps
Show steps
Show steps
- Review online resources or textbooks on machine learning.
Solve Practice Problems on H2O AutoML
Show steps
Solidifies understanding of H2O AutoML and its applications through practical problem-solving.
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Apply H2O AutoML to solve the problems.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Predictive Model in R
Show steps
Develops practical skills in building predictive models using R.
Browse courses on
R Programming
Show steps
Show steps
Show steps
- Import data.
- Preprocess and explore data.
- Build and evaluate a predictive model.
Implement Predictive Analytics Workflow
Show steps
Reinforces understanding of the machine learning pipeline and predictive analytics workflow.
Browse courses on
Predictive Analytics
Show steps
Show steps
Show steps
- Practice implementing a predictive analytics workflow using H2O AutoML.
H2O AutoML Walkthrough
Show steps
Provides hands-on experience with H2O's automated machine learning (AutoML) feature.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Follow the Coursera H2O AutoML Walkthrough
Create a Predictive Analytics Dashboard
Show steps
Applies knowledge of predictive analytics to create a visual representation of insights gained.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather and prepare data for visualization.
- Select appropriate visualization techniques.
- Design and develop the dashboard.
Career center
Learners who complete Predictive Analytics for Business with H2O in R will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course provides a solid foundation in machine learning theory and practice, as well as experience with H2O, an open source machine learning platform that is used by many companies in the tech industry. This course will help you develop the skills you need to build and deploy machine learning models that can solve real-world problems.
Data Scientist
Data Scientist
Data Scientists build predictive models to gain new insights, generate new products, and improve operational efficiency. This course provides a foundation in machine learning, data wrangling, and data mining, all essential skills for success in Data Science. This course also teaches you how to use the H2O platform, an open source machine learning platform that is used by many companies in the tech industry, giving you an advantage in your job search.
Financial Analyst
Financial Analyst
Financial Analysts use data analysis to help businesses make better financial decisions. This course teaches you how to use statistical modeling and machine learning to build predictive models that can help businesses identify opportunities and risks, manage their portfolios, and make better investment decisions. Your knowledge of H2O, an open source machine learning platform, will give you an edge over other candidates, as it is used by many companies in the financial industry.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course provides a strong foundation in machine learning and data mining, which are essential skills for Quantitative Analysts. This course also teaches you how to use H2O, an open source machine learning platform that is used by many companies in the financial industry, giving you an advantage in your job search.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. This course provides a solid foundation in data analysis, including data wrangling, data mining, and machine learning. This course also teaches you how to use H2O, an open source machine learning platform that is used by many companies in the tech industry, giving you an advantage in your job search.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. This course provides a comprehensive overview of data analysis, including data wrangling, data mining, and machine learning. This course also teaches you how to use H2O, an open source machine learning platform that is used by many companies in the tech industry, giving you an edge over other candidates.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course provides a comprehensive overview of product management, including market research, product development, and product launch. This course also teaches you how to use H2O, an open source machine learning platform that can be used to gather insights from customer data, giving you an advantage in your job search.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course provides a comprehensive overview of marketing, including market research, campaign planning, and campaign execution. This course also teaches you how to use H2O, an open source machine learning platform that can be used to analyze customer data and develop targeted marketing campaigns, giving you an advantage in your job search.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. This course provides a comprehensive overview of sales management, including sales strategy, team management, and customer relationship management. This course also teaches you how to use H2O, an open source machine learning platform that can be used to analyze customer data and develop targeted sales strategies, giving you an advantage in your job search.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. This course provides a comprehensive overview of operations management, including process improvement, inventory management, and customer service. This course also teaches you how to use H2O, an open source machine learning platform that can be used to analyze operational data and identify opportunities for improvement, giving you an advantage in your job search.
Risk Manager
Risk Manager
Risk Managers are responsible for identifying and managing risks to a business. This course provides a comprehensive overview of risk management, including risk assessment, risk mitigation, and risk reporting. This course also teaches you how to use H2O, an open source machine learning platform that can be used to analyze data and identify risks, giving you an advantage in your job search.
Consultant
Consultant
Consultants provide advice and expertise to businesses on a variety of topics. This course provides a comprehensive overview of consulting, including consulting skills, consulting methodologies, and consulting ethics. This course may also teach you how to use H2O, an open source machine learning platform that can be used to analyze data and provide insights to clients.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. This course provides a comprehensive overview of entrepreneurship, including business planning, marketing, and finance. This course may also teach you how to use H2O, an open source machine learning platform that can be used to analyze data and make informed decisions, giving you an advantage in your entrepreneurial endeavors.
Teacher
Teacher
Teachers educate students at all levels. This course provides a comprehensive overview of teaching, including lesson planning, classroom management, and assessment. This course may also teach you how to use H2O, an open source machine learning platform that can be used to analyze data and improve teaching methods, giving you an advantage in your teaching career.
Writer
Writer
Writers create written content for a variety of purposes, such as news articles, blog posts, and marketing materials. This course provides a comprehensive overview of writing, including grammar, style, and storytelling. This course may also teach you how to use H2O, an open source machine learning platform that can be used to analyze data and generate insights, giving you an advantage in your writing career.
For more career information including salaries, visit:
OpenCourser.com/course/7hc5dj/predictive
Reading list
We've selected 14 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 Analytics for Business with H2O in R.
Save
Provides a comprehensive overview of machine learning. It covers a wide range of topics, including supervised and unsupervised learning, regression, and classification. This book valuable reference for those who want to learn more about the theoretical foundations of machine learning.
Classic text on statistical learning. It covers a wide range of topics, including supervised and unsupervised learning, regression, and classification. This book valuable reference for those who want to learn more about the theoretical foundations of machine learning.
Save
Provides a comprehensive overview of R for data science. It covers a wide range of topics, including data manipulation, data visualization, and statistical modeling. This book valuable reference for those who want to learn more about R for data science.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It covers a wide range of topics, including supervised and unsupervised learning, regression, and classification. This book valuable reference for those who want to learn more about the theoretical foundations of machine learning.
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. This book valuable reference for those who want to learn more about deep learning.
Provides a comprehensive overview of reinforcement learning. It covers a wide range of topics, including Markov decision processes, value functions, and policy iteration. This book valuable reference for those who want to learn more about reinforcement learning.
Provides a comprehensive overview of machine learning. It covers a wide range of topics, including supervised and unsupervised learning, regression, and classification. This book valuable reference for those who want to learn more about the theoretical foundations of machine learning.
Save
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, including supervised and unsupervised learning, regression, and classification. This book valuable reference for those who want to learn more about the theoretical foundations of machine learning.
Save
Provides a comprehensive overview of data mining. It covers a wide range of topics, including data preparation, data exploration, model selection, and model evaluation. This book valuable reference for those who want to learn more about data mining.
Provides a comprehensive overview of machine learning in R. It covers a wide range of topics, including data preparation, model selection, and model evaluation. This book valuable reference for those who want to learn more about machine learning in R.
Save
Provides a comprehensive overview of natural language processing in R. It covers a wide range of topics, including text preprocessing, text mining, and machine translation. This book valuable reference for those who want to learn more about natural language processing in R.
Save
Provides a comprehensive overview of predictive modeling. It covers a wide range of topics, including data preparation, model selection, and model evaluation. This book valuable reference for those who want to learn more about predictive modeling.
Provides a practical introduction to machine learning. It covers a wide range of topics, including data preparation, model selection, and model evaluation. This book good starting point for those who want to learn more about machine learning.
Provides a practical introduction to machine learning. It covers a wide range of topics, including data preparation, model selection, and model evaluation. This book good starting point for those who want to learn more about machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7hc5dj/predictive
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Snehan Kekre
Language
English
Good to know
If this course teaches versions of a software or tool that are completely deprecated and no longer supported (examples include Python 2.7, Android 10, Windows XP) [dealbreaker]
Teaches skills, knowledge, and/or tools that are highly relevant to industry [positive]
Taught by Snehan Kekre, who are recognized for their work in x [positive]
Examines x, which is highly relevant to y [positive]
Develops x and y, which are core skills for z [positive]
Builds a strong foundation for beginners [positive]
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