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

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Basics of Machine Learning
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1. What You Will Learn in This Section2m 2s
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2. Why Machine Learning is the Future?10m 30s
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3. What is Machine Learning?9m 31s
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4. Understanding various aspects of data - Type, Variables, Category7m 6s
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5. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range7m 41s
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6. Types of Machine Learning Models - Classification, Regression, Clustering etc10m 2s
Getting Started with Azure ML
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1. What You Will Learn in This Section?2m 8s
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2. What is Azure ML and high level architecture.3m 59s
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3. Creating a Free Azure ML Account2m 21s
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4. Azure ML Studio Overview and walk-through5m 1s
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5. Azure ML Experiment Workflow7m 20s
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6. Azure ML Cheat Sheet for Model Selection6m 1s
Data Processing
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1. Data Input-Output - Upload Data8m 18s
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2. Data Input-Output - Convert and Unpack8m 53s
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3. Data Input-Output - Import Data5m 46s
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4. Data Transform - Add Rows/Columns, Remove Duplicates, Select Columns11m 34s
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5. Data Transform - Apply SQL Transformation, Clean Missing Data, Edit Metadata18m 29s
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6. Sample and Split Data - How to Partition or Sample, Train and Test Data16m 56s
Classification
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1. Logistic Regression - What is Logistic Regression?6m 46s
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2. Logistic Regression - Build Two-Class Loan Approval Prediction Model22m 9s
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3. Logistic Regression - Understand Parameters and Their Impact11m 19s
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4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score13m 17s
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5. Logistic Regression - Model Selection and Impact Analysis5m 50s
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6. Logistic Regression - Build Multi-Class Wine Quality Prediction Model8m 13s
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7. Decision Tree - What is Decision Tree?7m 35s
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8. Decision Tree - Ensemble Learning - Bagging and Boosting7m 5s
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9. Decision Tree - Parameters - Two Class Boosted Decision Tree5m 34s
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10. Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction10m 43s
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11. Decision Forest - Parameters Explained3m 37s
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12. Two Class Decision Forest - Adult Census Income Prediction14m 43s
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13. Decision Tree - Multi Class Decision Forest IRIS Data8m 14s
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14. SVM - What is Support Vector Machine?4m 2s
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15. SVM - Adult Census Income Prediction5m 32s
Hyperparameter Tuning
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1. Tune Hyperparameter for Best Parameter Selection9m 53s
Deploy Webservice
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1. Azure ML Webservice - Prepare the experiment for webservice2m 22s
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2. Deploy Machine Learning Model As a Web Service3m 28s
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3. Use the Web Service - Example of Excel6m 38s
Regression Analysis
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1. What is Linear Regression?6m 19s
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2. Regression Analysis - Common Metrics6m 27s
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3. Linear Regression model using OLS10m 54s
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4. Linear Regression - R Squared4m 26s
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5. Gradient Descent10m 48s
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6. Linear Regression: Online Gradient Descent2m 12s
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7. LR - Experiment Online Gradient4m 21s
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8. Decision Tree - What is Regression Tree?6m 41s
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9. Decision Tree - What is Boosted Decision Tree Regression?2m
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10. Decision Tree - Experiment Boosted Decision Tree7m 1s
Clustering
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1. What is Cluster Analysis?11m 52s
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2. Cluster Analysis Experiment 113m 16s
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3. Cluster Analysis Experiment 2 - Score and Evaluate8m 4s
Data Processing - Solving Data Processing Challenges
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1. Section Introduction2m 49s
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2. How to Summarize Data?6m 29s
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3. Summarize Data - Experiment3m 12s
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4. Outliers Treatment - Clip Values6m 52s
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5. Outliers Treatment - Clip Values Experiment7m 51s
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6. Clean Missing Data with MICE7m 19s
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7. Clean Missing Data with MICE - Experiment6m 44s
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8. SMOTE - Create New Synthetic Observations8m 33s
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9. SMOTE - Experiment5m 50s
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10. Data Normalization - Scale and Reduce3m 11s
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11. Data Normalization - Experiment2m 32s
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12. PCA - What is PCA and Curse of Dimensionality?6m 24s
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13. PCA - Experiment3m 24s
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14. Join Data - Join Multiple Datasets based on common keys6m 3s
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15. Join Data - Experiment2m 43s
Feature Selection - Select a subset of Variables or features with highest impact
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1. Feature Selection - Section Introduction5m 48s
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2. Pearson Correlation Coefficient4m 36s
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3. Chi Square Test of Independence5m 34s
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4. Kendall Correlation Coefficient4m 11s
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5. Spearman's Rank Correlation3m 42s
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6. Comparison Experiment for Correlation Coefficients7m 40s
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7. Filter Based Selection - AzureML Experiment3m 33s
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8. Fisher Based LDA - Intuition4m 43s
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9. Fisher Based LDA - Experiment5m 46s
Recommendation System
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1. What is a Recommendation System?16m 57s
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2. Data Preparation using Recommender Split8m 34s
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3. What is Matchbox Recommender and Train Matchbox Recommender8m 33s
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4. How to Score the Matchbox Recommender?5m 43s
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5. Restaurant Recommendation Experiment13m 36s
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6. Understanding the Matchbox Recommendation Results8m 58s