Machine Learning in Power BI (English Explanation)

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Course Description The goal of this course is the integration between Power BI & Azure to provide machine learning model Azure machine learning1. Introduction to Machine Learning 2. Machine Learning Types Supervised, Unsupervised & Reinforcement (Definition & Challenges).3. Automatic Machine Learning Process in Power BI 4. Requirements to start machine learning in Power BI 5. Step by Step Machine Learning Model Implementation 6. Recall vs Precision Machine Learning Performance Terms 7. Confusion Matrix (True Positive, True Negative, False Positive, False Negative) 8. Cost Benefit Analysis 9. AUC (Area Under Curve) vs ROC (Received Operating Characteristic) AUC & ROC10. Training Details Report & Different Learning Algorithms 11. Apply Machine Learning Model 12. Analyse Machine Learning Model in Power BI Desktop