DP-100: Designing and Implementing a Data Science Solution on Azure

Name: DP-100: Designing and Implementing a Data Science Solution on Azure Training Course
Brand: DumpsArena
SKU: DP-100: Designing and Implementing a Data Science Solution on Azure
Price: 14.99 USD
Availability: InStock
Rating: 5.0 (90 reviews)

Best Seller 80 Lectures 9h 42m 49s

Prepare for your Microsoft examination with our training course. The DP-100 course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Microsoft certification exam. Pass the Microsoft DP-100 test with flying colors.

$14.99$24.99

Curriculum For This Course

1. Basics of Machine Learning

6 lectures 46m 52s

1. What You Will Learn in This Section 2m 2s
2. Why Machine Learning is the Future? 10m 30s
3. What is Machine Learning? 9m 31s
4. Understanding various aspects of data - Type, Variables, Category 7m 6s
5. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range 7m 41s
6. Types of Machine Learning Models - Classification, Regression, Clustering etc 10m 2s

2. Getting Started with Azure ML

6 lectures 26m 50s

1. What You Will Learn in This Section? 2m 8s
2. What is Azure ML and high level architecture. 3m 59s
3. Creating a Free Azure ML Account 2m 21s
4. Azure ML Studio Overview and walk-through 5m 1s
5. Azure ML Experiment Workflow 7m 20s
6. Azure ML Cheat Sheet for Model Selection 6m 1s

3. Data Processing

6 lectures 1h 9m 56s

1. Data Input-Output - Upload Data 8m 18s
2. Data Input-Output - Convert and Unpack 8m 53s
3. Data Input-Output - Import Data 5m 46s
4. Data Transform - Add Rows/Columns, Remove Duplicates, Select Columns 11m 34s
5. Data Transform - Apply SQL Transformation, Clean Missing Data, Edit Metadata 18m 29s
6. Sample and Split Data - How to Partition or Sample, Train and Test Data 16m 56s

4. Classification

15 lectures 2h 14m 39s

1. Logistic Regression - What is Logistic Regression? 6m 46s
2. Logistic Regression - Build Two-Class Loan Approval Prediction Model 22m 9s
3. Logistic Regression - Understand Parameters and Their Impact 11m 19s
4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score 13m 17s
5. Logistic Regression - Model Selection and Impact Analysis 5m 50s
6. Logistic Regression - Build Multi-Class Wine Quality Prediction Model 8m 13s
7. Decision Tree - What is Decision Tree? 7m 35s
8. Decision Tree - Ensemble Learning - Bagging and Boosting 7m 5s
9. Decision Tree - Parameters - Two Class Boosted Decision Tree 5m 34s
10. Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction 10m 43s
11. Decision Forest - Parameters Explained 3m 37s
12. Two Class Decision Forest - Adult Census Income Prediction 14m 43s
13. Decision Tree - Multi Class Decision Forest IRIS Data 8m 14s
14. SVM - What is Support Vector Machine? 4m 2s
15. SVM - Adult Census Income Prediction 5m 32s