WF - 060 - Foundations of Machine Learning
Course Description
What you'll learn
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Construct Machine Learning models using the various steps of a typical Machine Learning Workflow
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Apply appropriate metrics for various business problems to assess the performance of Machine Learning models
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Develop regression and tree based Machine learning Models to make predictions on relevant business problems
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Analyze business problems where unsupervised Machine Learning models could be used to derive value from data
Course Outline
There are 6 modules in this course
In a world where data-driven insights are reshaping industries, mastering the foundations of machine learning is a valuable skill that opens doors to innovation and informed decision-making. In this comprehensive course, you will be guided through the core concepts and practical aspects of machine learning. Complex algorithms and techniques will be demystified and broken down into digestible knowledge, empowering you to wield the capabilities of machine learning confidently. By the end of this course, you will:
1. Grasp the fundamental principles of machine learning and its real-world applications. 2. Construct and evaluate machine learning models, transforming raw data into actionable insights. 3. Navigate through diverse datasets, extracting meaningful patterns that drive decision-making. 4. Apply machine learning strategies to varied scenarios, expanding your problem-solving toolkit. This course equips you with the foundation to thrive as a machine learning enthusiast, data-driven professional, or someone ready to explore the dynamic possibilities of machine learning.
Applies Towards the Following Certificates
- Fractal Data Science Professional Certificate : Fractal Data Science Professional Certificate