Machine Learning in Power BI (English Explanation)

Machine Learning in Power BI (English Explanation), available at $59.99, has an average rating of 4.33, with 23 lectures, based on 3 reviews, and has 7 subscribers.

You will learn about Learn Different Techniques of Machine Learning Integrate Machine Learning in Power BI Check Machine Learning Performance Enhance Machine Learning Performance This course is ideal for individuals who are Who is interested in Auto Machine Learning It is particularly useful for Who is interested in Auto Machine Learning.

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Summary

Title: Machine Learning in Power BI (English Explanation)

Price: $59.99

Average Rating: 4.33

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Different Techniques of Machine Learning
Integrate Machine Learning in Power BI
Check Machine Learning Performance
Enhance Machine Learning Performance

Who Should Attend

Who is interested in Auto Machine Learning

Target Audiences

Who is interested in Auto Machine Learning

Course Description

The goal of this course is the integration between Power BI & Azure to provide machine learning model

الهدف من هذا الكورس هو دمج الباور بي أي مع Azure machine learning

1. Introduction to Machine Learning مقدمة على فن تعليم الآلة

2. Machine Learning Types Supervised, Unsupervised & Reinforcement (Definition & Challenges)

طرق تعليم الآلة المختلفة ، تعريفاتها و تحديات كل منها.

3. Automatic Machine Learning Process in Power BI عملية تعليم الآلة بشكل أوتوماتيك في باور بي أي

4. Requirements to start machine learning in Power BIالمتطلبات الازمة لبدء تعليم الألة في باور بي أي

5. Step by Step Machine Learning Model Implementation خطوة بخطوة كيفية تعليم الآلة في باور بي أي

6. Recall vs Precision Machine Learning Performance Terms تعريف مصطلحات و أدوات قياس أداء الآلة بعد تعليمها

7. Confusion Matrix (True Positive, True Negative, False Positive, False Negative)

شرح مصفوفة أداء الآلة مع امكانية التحكم فيها

8. Cost Benefit Analysis

شرح الفايدة مقارنة بالتكلفة

9. AUC (Area Under Curve) vs ROC (Received Operating Characteristic)

شرح معايير أداء النموذج من AUC & ROC

10. Training Details Report & Different Learning Algorithms

شرح تقرير تفاصيل تدريب الآلة و الخوارزميات المستخدمة في التدريب

11. Apply Machine Learning Model

تطبيق النموذج الذي تم تدريبه على بيانات أخرى

12. Analyse Machine Learning Model in Power BI Desktop

تحليل النموذج و نحميل في باور بي أي ديسكتوب

Course Curriculum

Chapter 1: Introduction

Lecture 1: Overview

Lecture 2: Course Contents

Lecture 3: Introduction

Chapter 2: Machine Learning Types

Lecture 1: Supervised Machine Learning

Lecture 2: UnSupervised Machine Learning

Lecture 3: Reinforcement Machine Learning

Lecture 4: Machine Learning Challenges Part 1

Lecture 5: Machine Learning Challenges Part 2

Chapter 3: Auto ML in Power BI

Lecture 1: Auto ML Process in PBI

Lecture 2: Auto ML Models in PBI

Lecture 3: Auto ML Requirements in PBI

Chapter 4: Train Model in Power BI

Lecture 1: Preparation Steps

Lecture 2: ML Model Configuration in Power BI

Chapter 5: Check ML Model Performance

Lecture 1: Check Performance Report

Lecture 2: Recall vs Precision

Lecture 3: Confusion Matrix

Lecture 4: Cost-Benefit Analysis

Lecture 5: AUC vs ROC

Lecture 6: Training Details

Chapter 6: Apply and Analyse The Model

Lecture 1: Apply Training Model to New Data

Lecture 2: Connect Power BI Desktop to Dataflow

Lecture 3: Download ML Report to Power BI Desktop

Chapter 7: Migration From Azure to Power BI

Lecture 1: Benefits & way of migration from Azure to MS Power BI

Instructors

Noha Sheta
Power BI & Data Analytics Instructor

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 0 votes
5 stars: 2 votes

Frequently Asked Questions

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