Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.
Instructed by Diogo Alves de Resende 9 hours on-demand video, 2 articles & 9 downloadable resources
What you’ll learn
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Identify the value of data mining for quickly analyzing and interpreting data.
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Apply data mining algorithms using Python programming language for Business Analytics.
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Explain the principles behind various data mining algorithms, including supervised and unsupervised machine learning, and explainable AI
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Explain the results of data mining models using explainable artificial intelligence models: LIME and SHAP.
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Practice applying data mining techniques through hands-on exercises and case studies.
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Implement cluster analysis, dimension reduction, and association rule learning using Python.
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Perform survival analysis, Cox proportional hazard regression, and CHAID using Python.
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Use random forest and feature selection to improve the accuracy of data mining models.
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Develop a portfolio of data mining projects for Business Data Analytics and Intelligence.
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Use data mining techniques to inform business decisions and strategies
Who this course is for:
- Professionals looking to learn Data Mining algorithms
- Data Analysts starting to learn Data Mining techniques
- Business Analysts looking to learn algorithms on how to uncover business insights
- Any Python programmer who would like to learn Data Mining tools
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Deal Score+2
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