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DP-100: Designing and Implementing a Data Science Solution on Azure Certification Video Training Course
The complete solution to prepare for for your exam with DP-100: Designing and Implementing a Data Science Solution on Azure certification video training course. The DP-100: Designing and Implementing a Data Science Solution on Azure certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Microsoft Data Science DP-100 exam dumps, study guide & practice test questions and answers.
106 Students Enrolled
09:42:32 Hours
DP-100: Designing and Implementing a Data Science Solution on Azure Certification Video Training Course Exam Curriculum
1
Basics of Machine Learning
6 Lectures
Time 00:46:51
2
Getting Started with Azure ML
6 Lectures
Time 00:26:48
3
Data Processing
6 Lectures
Time 01:09:56
4
Classification
15 Lectures
Time 02:14:36
5
Hyperparameter Tuning
1 Lectures
Time 00:09:53
6
Deploy Webservice
3 Lectures
Time 00:12:28
7
Regression Analysis
10 Lectures
Time 01:01:07
8
Clustering
3 Lectures
Time 00:33:11
9
Data Processing - Solving Data Processing Challenges
15 Lectures
Time 01:19:50
10
Feature Selection - Select a subset of Variables or features with highest impact
9 Lectures
Time 00:45:33
11
Recommendation System
6 Lectures
Time 01:02:19
Basics of Machine Learning
-
02:02
1. What You Will Learn in This Section
-
10:30
2. Why Machine Learning is the Future?
-
09:31
3. What is Machine Learning?
-
07:06
4. Understanding various aspects of data - Type, Variables, Category
-
07:41
5. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range
-
10:02
6. Types of Machine Learning Models - Classification, Regression, Clustering etc
Getting Started with Azure ML
-
02:08
1. What You Will Learn in This Section?
-
03:59
2. What is Azure ML and high level architecture.
-
02:21
3. Creating a Free Azure ML Account
-
05:01
4. Azure ML Studio Overview and walk-through
-
07:20
5. Azure ML Experiment Workflow
-
06:01
6. Azure ML Cheat Sheet for Model Selection
Data Processing
-
08:18
1. Data Input-Output - Upload Data
-
08:53
2. Data Input-Output - Convert and Unpack
-
05:46
3. Data Input-Output - Import Data
-
11:34
4. Data Transform - Add Rows/Columns, Remove Duplicates, Select Columns
-
18:29
5. Data Transform - Apply SQL Transformation, Clean Missing Data, Edit Metadata
-
16:56
6. Sample and Split Data - How to Partition or Sample, Train and Test Data
Classification
-
06:46
1. Logistic Regression - What is Logistic Regression?
-
22:09
2. Logistic Regression - Build Two-Class Loan Approval Prediction Model
-
11:19
3. Logistic Regression - Understand Parameters and Their Impact
-
13:17
4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score
-
05:50
5. Logistic Regression - Model Selection and Impact Analysis
-
08:13
6. Logistic Regression - Build Multi-Class Wine Quality Prediction Model
-
07:35
7. Decision Tree - What is Decision Tree?
-
07:05
8. Decision Tree - Ensemble Learning - Bagging and Boosting
-
05:34
9. Decision Tree - Parameters - Two Class Boosted Decision Tree
-
10:43
10. Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction
-
03:37
11. Decision Forest - Parameters Explained
-
14:43
12. Two Class Decision Forest - Adult Census Income Prediction
-
08:14
13. Decision Tree - Multi Class Decision Forest IRIS Data
-
04:02
14. SVM - What is Support Vector Machine?
-
05:32
15. SVM - Adult Census Income Prediction
Hyperparameter Tuning
-
09:53
1. Tune Hyperparameter for Best Parameter Selection
Deploy Webservice
-
02:22
1. Azure ML Webservice - Prepare the experiment for webservice
-
03:28
2. Deploy Machine Learning Model As a Web Service
-
06:38
3. Use the Web Service - Example of Excel
Regression Analysis
-
06:19
1. What is Linear Regression?
-
06:27
2. Regression Analysis - Common Metrics
-
10:54
3. Linear Regression model using OLS
-
04:26
4. Linear Regression - R Squared
-
10:48
5. Gradient Descent
-
02:12
6. Linear Regression: Online Gradient Descent
-
04:21
7. LR - Experiment Online Gradient
-
06:41
8. Decision Tree - What is Regression Tree?
-
02:00
9. Decision Tree - What is Boosted Decision Tree Regression?
-
07:01
10. Decision Tree - Experiment Boosted Decision Tree
Clustering
-
11:52
1. What is Cluster Analysis?
-
13:16
2. Cluster Analysis Experiment 1
-
08:04
3. Cluster Analysis Experiment 2 - Score and Evaluate
Data Processing - Solving Data Processing Challenges
-
02:49
1. Section Introduction
-
06:29
2. How to Summarize Data?
-
03:12
3. Summarize Data - Experiment
-
06:52
4. Outliers Treatment - Clip Values
-
07:51
5. Outliers Treatment - Clip Values Experiment
-
07:19
6. Clean Missing Data with MICE
-
06:44
7. Clean Missing Data with MICE - Experiment
-
08:33
8. SMOTE - Create New Synthetic Observations
-
05:50
9. SMOTE - Experiment
-
03:11
10. Data Normalization - Scale and Reduce
-
02:32
11. Data Normalization - Experiment
-
06:24
12. PCA - What is PCA and Curse of Dimensionality?
-
03:24
13. PCA - Experiment
-
06:03
14. Join Data - Join Multiple Datasets based on common keys
-
02:43
15. Join Data - Experiment
Feature Selection - Select a subset of Variables or features with highest impact
-
05:48
1. Feature Selection - Section Introduction
-
04:36
2. Pearson Correlation Coefficient
-
05:34
3. Chi Square Test of Independence
-
04:11
4. Kendall Correlation Coefficient
-
03:42
5. Spearman's Rank Correlation
-
07:40
6. Comparison Experiment for Correlation Coefficients
-
03:33
7. Filter Based Selection - AzureML Experiment
-
04:43
8. Fisher Based LDA - Intuition
-
05:46
9. Fisher Based LDA - Experiment
Recommendation System
-
16:57
1. What is a Recommendation System?
-
08:34
2. Data Preparation using Recommender Split
-
08:33
3. What is Matchbox Recommender and Train Matchbox Recommender
-
05:43
4. How to Score the Matchbox Recommender?
-
13:36
5. Restaurant Recommendation Experiment
-
08:58
6. Understanding the Matchbox Recommendation Results
About DP-100: Designing and Implementing a Data Science Solution on Azure Certification Video Training Course
DP-100: Designing and Implementing a Data Science Solution on Azure certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
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- Premium File 517 Questions & Answers. Last update: Dec 12, 2024
- Training Course 80 Video Lectures
- Study Guide 608 Pages
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