Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 369.91 MB | Duration: 0h 57m
Integrate machine learning in Power BI What you'll learn Learn Different Techniques of Machine Learning Integrate Machine Learning in Power BI Check Machine Learning Performance Enhance Machine Learning Performance Requirements Nothing Description Course DescriptionThe goal of this course is the integration between Power BI & Azure to provide machine learning modelالهدف من هذا الكورس هو دمج الباور بي اي مع Azure machine learning1. Introduction to Machine Learning مقدمة على فن تعليم الالة2. Machine Learning Types Supervised, Unsupervised & Reinforcement (Definition & Challenges)طرق تعليم الالة المختلفة ، تعريفاتها و تحديات كل منها.3. Automatic Machine Learning Process in Power BI عملية تعليم الالة بشكل اوتوماتيك في باور بي اي4. Requirements to start machine learning in Power BIالمتطلبات الازمة لبدء تعليم الالة في باور بي اي5. Step by Step Machine Learning Model Implementation خطوة بخطوة كيفية تعليم الالة في باور بي اي6. Recall vs Precision Machine Learning Performance Terms تعريف مصطلحات و ادوات قياس اداء الالة بعد تعليمها7. Confusion Matrix (True Positive, True Negative, False Positive, False Negative)شرح مصفوفة اداء الالة مع امكانية التحكم فيها8. Cost Benefit Analysisشرح الفايدة مقارنة بالتكلفة9. AUC (Area Under Curve) vs ROC (Received Operating Characteristic)شرح معايير اداء النموذج من AUC & ROC10. Training Details Report & Different Learning Algorithmsشرح تقرير تفاصيل تدريب الالة و الخوارزميات المستخدمة في التدريب11. Apply Machine Learning Modelتطبيق النموذج الذي تم تدريبه على بيانات اخرى12. Analyse Machine Learning Model in Power BI Desktopتحليل النموذج و نحميل في باور بي اي ديسكتوب Overview Section 1: Introduction Lecture 1 Overview Lecture 2 Course Contents Lecture 3 Introduction Section 2: Machine Learning Types Lecture 4 Supervised Machine Learning Lecture 5 UnSupervised Machine Learning Lecture 6 Reinforcement Machine Learning Lecture 7 Machine Learning Challenges Part 1 Lecture 8 Machine Learning Challenges Part 2 Section 3: Auto ML in Power BI Lecture 9 Auto ML Process in PBI Lecture 10 Auto ML Models in PBI Lecture 11 Auto ML Requirements in PBI Section 4: Train Model in Power BI Lecture 12 Preparation Steps Lecture 13 ML Model Configuration in Power BI Section 5: Check ML Model Performance Lecture 14 Check Performance Report Lecture 15 Recall vs Precision Lecture 16 Confusion Matrix Lecture 17 Cost-Benefit Analysis Lecture 18 AUC vs ROC Lecture 19 Training Details Section 6: Apply and Analyse The Model Lecture 20 Apply Training Model to New Data Lecture 21 Connect Power BI Desktop to Dataflow Lecture 22 ML Report to Power BI Desktop Who is interested in Auto Machine Learning HomePage:
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