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Build State of the Art Machine Learning Models without a single line of code
What you will learn
Understanding the Lifecycle of a Machine Learning Project.
Introduction to Cloud Computing and how to use Cloud Computing for Machine Learning.
Learn about AWS SageMaker Canvas.
Perform Diabetes Prediction Machine Learning Practical on AWS SageMaker Canvas without writing a single line of code.
Description
“No code” machine learning (ML) refers to the use of ML platforms, tools, or libraries that allow users to build and deploy ML models without writing any code. This approach is intended to make ML more accessible to a wider range of users, including those who may not have a strong programming background.
Amazon SageMaker is a fully managed machine learning service provided by Amazon Web Services (AWS) that enables developers and data scientists to build, train, and deploy machine learning models at scale. SageMaker also includes built-in algorithms, pre-built libraries for common machine learning tasks, and a variety of tools for data pre-processing, model tuning, and model deployment. SageMaker also integrates with other AWS services to provide a complete machine learning environment.
AutoML in SageMaker refers to the automatic selection and tuning of machine learning models to improve the accuracy and performance of the models. This can be done by using SageMaker’s built-in algorithms and libraries or by using custom algorithms and libraries. SageMaker also includes a feature called Automatic Model Tuning which allows for tuning of the hyper-parameters of the models to improve their performance.
We are thrilled to unveil this latest course AutoML Automated Machine Learning BootCamp (No Code ML) which is designed to unlock your full potential and propel you towards success. 
Whether you are an aspiring professional seeking to upskill or an enthusiast eager to explore a new passion, this course AutoML Automated Machine Learning BootCamp (No Code ML) is tailor-made to cater to your unique learning journey. Enroll this course AutoML Automated Machine Learning BootCamp (No Code ML) to embark on an exciting educational adventure that will redefine your capabilities and broaden your horizons. Get ready to dive into a world of knowledge, innovation, and growth! Explore our website daily to access a diverse range of free courses covering high-demand fields such as Cloud Computing, Data Analytics, and Cybersecurity. Dive into Trading insights and Real Estate investment strategies, or discover the nuances of Property management. Elevate your career with Online MBA Programs and College degrees. Explore various financial subjects like Health Insurance, Life Insurance, Credit Card tips, and Legal attorney courses. Our Health and Medical offerings cover Dentistry, Surgery, and beyond. Begin your Journey with travel-focused courses for Flight and Hotel booking know-how. Enhance your Home Improvement skills with our specialized offerings. Our platform presents learning opportunities across multiple disciplines, providing the latest insights in various industries. As you stay informed, your personal and professional growth thrives. Dive into Finance with courses on Personal Loans, Retirement Plans, Mutual Funds, and Financial Planning. Uncover insights into Health Insurance, Weight Loss Surgery, Dental Implants, Addiction or Cancer Treatment. Whether you are interested in trading or need guidance on Car or Motorcycle Insurance, our courses empower your knowledge journey.SageMaker Studio Canvas is a feature that allows users to interact with their data, build and visualize workflows, and create, run, and debug Jupyter notebooks, all within the same web-based interface. The Canvas provides a visual and interactive way to explore, manipulate and visualize data, and allows users to create Jupyter notebooks and drag-and-drop pre-built code snippets, called “recipes” to quickly perform common data pre-processing, data visualization, and data analysis tasks.
SageMaker Studio Canvas also allows users to easily share their notebooks, recipes, and data with other users and collaborate on projects. This helps to simplify the machine learning development process, accelerate the development of machine learning models, and improve collaboration among teams.
IN THIS COURSE YOU WILL LEARN :
- LifeCycle of a Machine Learning Project
- Machine Learning Fundamentals
- Cloud Computing for Machine Learning
- AWS SageMaker Canvas (NO CODE ML)
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