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Update pages/3Life Cycle of Machine Learning Project.py
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pages/3Life Cycle of Machine Learning Project.py
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@@ -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:
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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:
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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:
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height:
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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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- 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,
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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="
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<a href="/data_collection" target="_self" class="step" id="
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<a href="/simple_eda" target="_self" class="step" id="
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<a href="/data_preprocessing" target="_self" class="step" id="
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<a href="/eda" target="_self" class="step" id="
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<a href="/feature_engineering" target="_self" class="step" id="
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<a href="/model_training" target="_self" class="step" id="
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<a href="/model_testing" target="_self" class="step" id="
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<a href="/model_deployment" target="_self" class="step" id="
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<a href="/monitoring" target="_self" class="step" id="
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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>
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