LakshmiHarika commited on
Commit
94d165f
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verified ·
1 Parent(s): bea4269

Update pages/3Life Cycle of Machine Learning Project.py

Browse files
pages/3Life Cycle of Machine Learning Project.py CHANGED
@@ -25,20 +25,20 @@ st.markdown("""
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  .description {
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  text-align: center;
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  font-size: 18px;
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- margin-bottom: 30px;
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  color: #333333;
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  }
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  .circle-container {
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  display: flex;
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  justify-content: center;
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  align-items: center;
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- margin-top: 50px;
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  position: relative;
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  }
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  .circle {
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  position: relative;
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- width: 1100px;
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- height: 1100px;
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  border-radius: 50%;
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  display: flex;
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  justify-content: center;
@@ -91,12 +91,7 @@ st.markdown(
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  """
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  <div class="description">
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  - In this page, I will take you through the 10 crucial steps involved in the life cycle of a Machine Learning project.<br>
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- - These steps outline the entire process:
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- - Starting from defining the problem and collecting data.<br>
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- - Building, deploying, and monitoring the model.<br>
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- - Each step plays a significant role in ensuring the success of the project:
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- - Addressing technical and practical challenges along the way.<br>
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- - By following these steps, you can create a robust and efficient ML solution.
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  </div>
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  """,
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  unsafe_allow_html=True,
@@ -108,16 +103,16 @@ st.markdown(
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  <div class="circle-container">
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  <div class="circle">
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  <div class="steps">
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- <a href="/problem_statement" target="_self" class="step" id="step1">1. Problem Statement</a>
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- <a href="/data_collection" target="_self" class="step" id="step2">2. Data Collection</a>
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- <a href="/simple_eda" target="_self" class="step" id="step3">3. Simple EDA</a>
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- <a href="/data_preprocessing" target="_self" class="step" id="step4">4. Data Preprocessing</a>
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- <a href="/eda" target="_self" class="step" id="step5">5. EDA</a>
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- <a href="/feature_engineering" target="_self" class="step" id="step6">6. Feature Engineering</a>
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- <a href="/model_training" target="_self" class="step" id="step7">7. Model Training</a>
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- <a href="/model_testing" target="_self" class="step" id="step8">8. Model Testing</a>
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- <a href="/model_deployment" target="_self" class="step" id="step9">9. Model Deployment</a>
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- <a href="/monitoring" target="_self" class="step" id="step10">10. Monitoring</a>
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  </div>
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  </div>
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  </div>
 
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  .description {
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  text-align: center;
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  font-size: 18px;
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+ margin-bottom: 40px;
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  color: #333333;
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  }
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  .circle-container {
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  display: flex;
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  justify-content: center;
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  align-items: center;
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+ margin-top: 20px;
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  position: relative;
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  }
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  .circle {
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  position: relative;
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+ width: 900px;
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+ height: 900px;
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  border-radius: 50%;
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  display: flex;
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  justify-content: center;
 
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  """
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  <div class="description">
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  - In this page, I will take you through the 10 crucial steps involved in the life cycle of a Machine Learning project.<br>
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+ - Each step plays a significant role in ensuring the success of the project
 
 
 
 
 
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  </div>
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  """,
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  unsafe_allow_html=True,
 
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  <div class="circle-container">
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  <div class="circle">
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  <div class="steps">
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+ <a href="/problem_statement" target="_self" class="step" id="step9">1. Problem Statement</a>
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+ <a href="/data_collection" target="_self" class="step" id="step10">2. Data Collection</a>
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+ <a href="/simple_eda" target="_self" class="step" id="step1">3. Simple EDA</a>
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+ <a href="/data_preprocessing" target="_self" class="step" id="step2">4. Data Preprocessing</a>
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+ <a href="/eda" target="_self" class="step" id="step3">5. EDA</a>
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+ <a href="/feature_engineering" target="_self" class="step" id="step4">6. Feature Engineering</a>
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+ <a href="/model_training" target="_self" class="step" id="step5">7. Model Training</a>
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+ <a href="/model_testing" target="_self" class="step" id="step6">8. Model Testing</a>
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+ <a href="/model_deployment" target="_self" class="step" id="step7">9. Model Deployment</a>
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+ <a href="/monitoring" target="_self" class="step" id="step8">10. Monitoring</a>
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  </div>
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  </div>
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  </div>