Machine Learning with Qlik AutoML: No-Code Predictive Modeling

Machine learning is no longer reserved for expert coders or mathematicians. You can now leverage the power of advanced algorithms to solve business problems and predict future outcomes using intuitive, automated tools. This course transforms you from a beginner into a confident user of automated machine learning. You will learn how to navigate the entire predictive lifecycle, from preparing your datasets to interpreting complex model results, all through written explanations and practical examples. What you'll learn: - Understand core machine learning terminology and foundational concepts. - Navigate the automated machine learning workflow from data preparation to prediction. - Apply feature engineering and selection techniques to improve model quality. - Evaluate model performance using key metrics like accuracy, precision, and recall. - Identify and mitigate potential bias in automated models to ensure ethical AI practices. - Deploy trained models to generate real-world business predictions. The course begins with essential definitions and an overview of the machine learning lifecycle. You will then progress through the technical stages of configuring experiments, refining models, and interpreting the drivers behind your data's behavior. This course is designed for beginners, data analysts, and business professionals who want to leverage machine learning without learning complex programming languages or advanced statistics. No prior coding experience is required. Start your journey into automated machine learning today.