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Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights
Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process.
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Hands-On: Logistic Regression Made Easy with Excel
In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel.
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Hands-On: Machine Learning Made Easy - No, Really!
In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers.
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Introduction to Machine Learning
Machine learning encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of machine learning. The tendency, however, is to focus primarily on the technology rather than the process.
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DataOps: Best Practices for Agile Data Management
DataOps needs to deliver consistent and meaningful data which means automating the data lifecycle of acquisition, understanding, integration, transformation, and deployment. This session will address best practices that contribute to consistent and automated analytics results.
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Hands-On Machine Learning Made Easy - No, Really!
In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers.
learn more