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wiki:ai:ml_lab_-3 [2025/06/06 04:36] – created ymurugesanwiki:ai:ml_lab_-3 [2025/06/11 13:21] (current) ymurugesan
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-Hands-on Lab 3: Build a Complete ML Pipeline Using AutoML and Designer +**Hands-on Lab 3: Build a Complete ML Pipeline Using AutoML and Designer** 
-🧭 Objective+**🧭 Objective**
 In this lab, you will: In this lab, you will:
  
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 Deploy the best model Deploy the best model
  
-🧱 Prerequisites+ 
 +** 
 +🧱 Prerequisites** 
 An active Azure subscription An active Azure subscription
  
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 A basic dataset (e.g., Titanic, Diabetes, or Bank Marketing) A basic dataset (e.g., Titanic, Diabetes, or Bank Marketing)
  
-⚙️ PART 1: Create a Dataset in Azure ML+ 
 +** 
 +⚙️ PART 1: Create a Dataset in Azure ML** 
 Go to Azure ML Studio Go to Azure ML Studio
  
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 Confirm schema and create the dataset Confirm schema and create the dataset
  
-🧪 PART 2: AutoML Pipeline+**🧪 PART 2: AutoML Pipeline** 
 🧩 Step 1: Launch AutoML 🧩 Step 1: Launch AutoML
 In the Azure ML Studio, go to "Automated ML" In the Azure ML Studio, go to "Automated ML"
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 🧪 Step 2: Configure AutoML 🧪 Step 2: Configure AutoML
 +
 Task type: Choose (e.g., Classification if using Titanic) Task type: Choose (e.g., Classification if using Titanic)
  
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 Wait for the experiment to finish (AutoML will try many algorithms and preprocessing pipelines) Wait for the experiment to finish (AutoML will try many algorithms and preprocessing pipelines)
  
-🧠 PART 3: Build the Same Model Using Designer+**🧠 PART 3: Build the Same Model Using Designer** 
 📊 Step 1: Open Designer 📊 Step 1: Open Designer
 In Azure ML Studio, go to "Designer" In Azure ML Studio, go to "Designer"
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 View metrics in Evaluate Model View metrics in Evaluate Model
  
-🚀 PART 4: Register and Deploy the Best Model+** 
 +🚀 PART 4: Register and Deploy the Best Model**
 From AutoML results or Designer output, click "Register Model" From AutoML results or Designer output, click "Register Model"
  
wiki/ai/ml_lab_-3.1749184571.txt.gz · Last modified: by ymurugesan