Training Video Course

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

PDFs and exam guides are not so efficient, right? 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.

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Students
98
Duration
09:42:32 h
$16.49
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Curriculum for DP-100 Video Course

Name of Video Time
Play Video: What You Will Learn in This Section
1. What You Will Learn in This Section
02:02
Play Video: Why Machine Learning is the Future?
2. Why Machine Learning is the Future?
10:30
Play Video: What is Machine Learning?
3. What is Machine Learning?
09:31
Play Video: Understanding various aspects of data - Type, Variables, Category
4. Understanding various aspects of data - Type, Variables, Category
07:06
Play Video: Common Machine Learning Terms - Probability, Mean, Mode, Median, Range
5. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range
07:41
Play Video: Types of Machine Learning Models - Classification, Regression, Clustering etc
6. Types of Machine Learning Models - Classification, Regression, Clustering etc
10:02
Name of Video Time
Play Video: What You Will Learn in This Section?
1. What You Will Learn in This Section?
02:08
Play Video: What is Azure ML and high level architecture.
2. What is Azure ML and high level architecture.
03:59
Play Video: Creating a Free Azure ML Account
3. Creating a Free Azure ML Account
02:21
Play Video: Azure ML Studio Overview and walk-through
4. Azure ML Studio Overview and walk-through
05:01
Play Video: Azure ML Experiment Workflow
5. Azure ML Experiment Workflow
07:20
Play Video: Azure ML Cheat Sheet for Model Selection
6. Azure ML Cheat Sheet for Model Selection
06:01
Name of Video Time
Play Video: Data Input-Output - Upload Data
1. Data Input-Output - Upload Data
08:18
Play Video: Data Input-Output - Convert and Unpack
2. Data Input-Output - Convert and Unpack
08:53
Play Video: Data Input-Output - Import Data
3. Data Input-Output - Import Data
05:46
Play Video: Data Transform - Add Rows/Columns, Remove Duplicates, Select Columns
4. Data Transform - Add Rows/Columns, Remove Duplicates, Select Columns
11:34
Play Video: Data Transform - Apply SQL Transformation, Clean Missing Data, Edit Metadata
5. Data Transform - Apply SQL Transformation, Clean Missing Data, Edit Metadata
18:29
Play Video: Sample and Split Data - How to Partition or Sample, Train and Test Data
6. Sample and Split Data - How to Partition or Sample, Train and Test Data
16:56
Name of Video Time
Play Video: Logistic Regression - What is Logistic Regression?
1. Logistic Regression - What is Logistic Regression?
06:46
Play Video: Logistic Regression - Build Two-Class Loan Approval Prediction Model
2. Logistic Regression - Build Two-Class Loan Approval Prediction Model
22:09
Play Video: Logistic Regression - Understand Parameters and Their Impact
3. Logistic Regression - Understand Parameters and Their Impact
11:19
Play Video: Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score
4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score
13:17
Play Video: Logistic Regression - Model Selection and Impact Analysis
5. Logistic Regression - Model Selection and Impact Analysis
05:50
Play Video: Logistic Regression - Build Multi-Class Wine Quality Prediction Model
6. Logistic Regression - Build Multi-Class Wine Quality Prediction Model
08:13
Play Video: Decision Tree - What is Decision Tree?
7. Decision Tree - What is Decision Tree?
07:35
Play Video: Decision Tree - Ensemble Learning - Bagging and Boosting
8. Decision Tree - Ensemble Learning - Bagging and Boosting
07:05
Play Video: Decision Tree - Parameters - Two Class Boosted Decision Tree
9. Decision Tree - Parameters - Two Class Boosted Decision Tree
05:34
Play Video: Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction
10. Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction
10:43
Play Video: Decision Forest - Parameters Explained
11. Decision Forest - Parameters Explained
03:37
Play Video: Two Class Decision Forest - Adult Census Income Prediction
12. Two Class Decision Forest - Adult Census Income Prediction
14:43
Play Video: Decision Tree - Multi Class Decision Forest IRIS Data
13. Decision Tree - Multi Class Decision Forest IRIS Data
08:14
Play Video: SVM - What is Support Vector Machine?
14. SVM - What is Support Vector Machine?
04:02
Play Video: SVM - Adult Census Income Prediction
15. SVM - Adult Census Income Prediction
05:32
Name of Video Time
Play Video: Tune Hyperparameter for Best Parameter Selection
1. Tune Hyperparameter for Best Parameter Selection
09:53
Name of Video Time
Play Video: Azure ML Webservice - Prepare the experiment for webservice
1. Azure ML Webservice - Prepare the experiment for webservice
02:22
Play Video: Deploy Machine Learning Model As a Web Service
2. Deploy Machine Learning Model As a Web Service
03:28
Play Video: Use the Web Service - Example of Excel
3. Use the Web Service - Example of Excel
06:38
Name of Video Time
Play Video: What is Linear Regression?
1. What is Linear Regression?
06:19
Play Video: Regression Analysis - Common Metrics
2. Regression Analysis - Common Metrics
06:27
Play Video: Linear Regression model using OLS
3. Linear Regression model using OLS
10:54
Play Video: Linear Regression - R Squared
4. Linear Regression - R Squared
04:26
Play Video: Gradient Descent
5. Gradient Descent
10:48
Play Video: Linear Regression: Online Gradient Descent
6. Linear Regression: Online Gradient Descent
02:12
Play Video: LR - Experiment Online Gradient
7. LR - Experiment Online Gradient
04:21
Play Video: Decision Tree - What is Regression Tree?
8. Decision Tree - What is Regression Tree?
06:41
Play Video: Decision Tree - What is Boosted Decision Tree Regression?
9. Decision Tree - What is Boosted Decision Tree Regression?
02:00
Play Video: Decision Tree - Experiment Boosted Decision Tree
10. Decision Tree - Experiment Boosted Decision Tree
07:01
Name of Video Time
Play Video: What is Cluster Analysis?
1. What is Cluster Analysis?
11:52
Play Video: Cluster Analysis Experiment 1
2. Cluster Analysis Experiment 1
13:16
Play Video: Cluster Analysis Experiment 2 - Score and Evaluate
3. Cluster Analysis Experiment 2 - Score and Evaluate
08:04
Name of Video Time
Play Video: Section Introduction
1. Section Introduction
02:49
Play Video: How to Summarize Data?
2. How to Summarize Data?
06:29
Play Video: Summarize Data - Experiment
3. Summarize Data - Experiment
03:12
Play Video: Outliers Treatment - Clip Values
4. Outliers Treatment - Clip Values
06:52
Play Video: Outliers Treatment - Clip Values Experiment
5. Outliers Treatment - Clip Values Experiment
07:51
Play Video: Clean Missing Data with MICE
6. Clean Missing Data with MICE
07:19
Play Video: Clean Missing Data with MICE - Experiment
7. Clean Missing Data with MICE - Experiment
06:44
Play Video: SMOTE - Create New Synthetic Observations
8. SMOTE - Create New Synthetic Observations
08:33
Play Video: SMOTE - Experiment
9. SMOTE - Experiment
05:50
Play Video: Data Normalization - Scale and Reduce
10. Data Normalization - Scale and Reduce
03:11
Play Video: Data Normalization - Experiment
11. Data Normalization - Experiment
02:32
Play Video: PCA - What is PCA and Curse of Dimensionality?
12. PCA - What is PCA and Curse of Dimensionality?
06:24
Play Video: PCA - Experiment
13. PCA - Experiment
03:24
Play Video: Join Data - Join Multiple Datasets based on common keys
14. Join Data - Join Multiple Datasets based on common keys
06:03
Play Video: Join Data - Experiment
15. Join Data - Experiment
02:43
Name of Video Time
Play Video: Feature Selection - Section Introduction
1. Feature Selection - Section Introduction
05:48
Play Video: Pearson Correlation Coefficient
2. Pearson Correlation Coefficient
04:36
Play Video: Chi Square Test of Independence
3. Chi Square Test of Independence
05:34
Play Video: Kendall Correlation Coefficient
4. Kendall Correlation Coefficient
04:11
Play Video: Spearman's Rank Correlation
5. Spearman's Rank Correlation
03:42
Play Video: Comparison Experiment for Correlation Coefficients
6. Comparison Experiment for Correlation Coefficients
07:40
Play Video: Filter Based Selection - AzureML Experiment
7. Filter Based Selection - AzureML Experiment
03:33
Play Video: Fisher Based LDA - Intuition
8. Fisher Based LDA - Intuition
04:43
Play Video: Fisher Based LDA - Experiment
9. Fisher Based LDA - Experiment
05:46
Name of Video Time
Play Video: What is a Recommendation System?
1. What is a Recommendation System?
16:57
Play Video: Data Preparation using Recommender Split
2. Data Preparation using Recommender Split
08:34
Play Video: What is Matchbox Recommender and Train Matchbox Recommender
3. What is Matchbox Recommender and Train Matchbox Recommender
08:33
Play Video: How to Score the Matchbox Recommender?
4. How to Score the Matchbox Recommender?
05:43
Play Video: Restaurant Recommendation Experiment
5. Restaurant Recommendation Experiment
13:36
Play Video: Understanding the Matchbox Recommendation Results
6. Understanding the Matchbox Recommendation Results
08:58

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