Machine Learning No-Code Approach: Using Azure ML Studio

Why take this course?
🤖 Master Machine Learning No-Code with Azure ML Studio
Course Headline: A Hands-On Approach to Machine Learning Using the Drag-and-Drop Environment of Azure Machine Learning Studio
Course Description:
Machine Learning (ML) is revolutionizing the business landscape, offering unparalleled insights and predictive capabilities. 🚀 While the demand for ML expertise is at an all-time high, the skill has traditionally been confined to those who can code. Azure Machine Learning Studio has changed this narrative by introducing a user-friendly, drag-and-drop interface that demystifies ML for everyone.
Microsoft Azure Machine Learning Studio is renowned for its simplicity and accessibility, and with this course, you'll learn how to harness its full potential without the need for extensive programming knowledge. 🖥️
Why This Course?
- Foundational Knowledge: Gain a solid understanding of Machine Learning fundamentals, enabling you to engage in informed conversations and execute ML strategies to address business challenges.
- Practical Application: Learn the end-to-end process of creating a Supervised Learning prediction model using Azure ML Studio. Whether you're dealing with Classification or Regression problems, this course will guide you through each step.
- No Coding Required: This course is designed for those with no coding background, offering a "no-code approach" to develop and deploy ML models effectively.
What You'll Learn:
- Machine Learning Algorithms: Get acquainted with the main types of ML algorithms.
- Supervised Learning: Dive deep into Supervised Learning, culminating in a project using the Titanic Dataset.
- Classification: Understand and apply classification techniques to solve real-world problems.
- Feature Engineering: Learn how to select and modify features to enhance your ML model's performance.
- Data Preparation: Master data splitting, selection of algorithms, and model training, scoring, and evaluation.
- Regression: Explore Regression through a hands-on project with the Melbourne Real Estate Dataset.
- Cleaning Data: Gain skills in handling missing data and stratifying datasets.
- Hyperparameter Tuning: Discover how to fine-tune your model's hyperparameters for optimal performance.
- Model Deployment: Learn to deploy models directly into Excel and provide details to developers for integration with other systems.
- Azure ML Cheat Sheet: Equip yourself with a handy reference tool for Azure ML Studio features and functions.
Practical Experience:
- The course includes 4 assignments with detailed solutions, offering you the opportunity to practice and perfect your skills.
Outcomes:
- You'll be able to apply ML to your own datasets, driving data-driven decisions and providing valuable insights within your company.
- Showcase your newfound expertise in ML to impress colleagues and stakeholders alike.
- Become a Machine Learning hero by mastering Azure ML Studio without coding!
Enrollment Benefits:
- Step into the world of ML with confidence, armed with practical skills and knowledge.
- Join a community of learners who are transforming their careers through accessible technology.
- Gain lifelong access to course materials, including the Azure ML Cheat Sheet.
Instructor: Aderson Oliveira 👩🏫
Ready to ride the Machine Learning wave? Enroll now and embark on a journey to become an ML expert with Azure ML Studio! Let's make data work for you. See you inside the course! 🎓🚀
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