Masterclass Certificate in Data-Driven Insights with Interpretable AI
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⢠Unit 1: Introduction to Data-Driven Insights · Overview of AI in decision-making · Importance of interpretable AI
⢠Unit 2: Data Preprocessing · Data cleaning · Feature engineering
⢠Unit 3: Exploratory Data Analysis (EDA) · Data visualization · Descriptive statistics
⢠Unit 4: Machine Learning Fundamentals · Supervised · Unsupervised learning
⢠Unit 5: Model Evaluation · Performance metrics · Cross-validation techniques
⢠Unit 6: Interpretable AI Techniques · Explainable Boosting Machines · SHAP values
⢠Unit 7: Responsible AI · Bias detection · Ethical considerations
⢠Unit 8: Applying Data-Driven Insights · Real-world case studies · AI in business decision-making
⢠Unit 9: Advanced Topics in Interpretable AI · Generative models · Causal inference
⢠Unit 10: Capstone Project · Hands-on experience · Final project presentation
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