Update T2.md

cognizance-amrita · Aug 28, 2024 · dc4c150 · dc4c150
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@@ -320,16 +320,18 @@ The Iris dataset is a classic dataset in machine learning, consisting of 150 sam
 
 <span style="color: #ADD8E6;">_Bonus Task :_</span>
 - <span style="color: #FF6363;">Question 5.1 : </span> Principal Component Analysis (PCA)
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     Explanation:
     •	Perform PCA on the Iris dataset to reduce the dimensionality to 2 components.
     •	Plot the data points in the new 2D space with different colors for each species.
 
 
 <span style="color: #ADD8E6;">_Deliverables :_</span>
-•	A Jupyter Notebook or Google Colab Notebook containing:
-•	Code for each of the tasks.
-•	Comments explaining each step.
-•	Plots and visualizations generated during EDA.
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+ A Jupyter Notebook or Google Colab Notebook containing:
+  •	Code for each of the tasks.
+  •	Comments explaining each step.
+  •	Plots and visualizations generated during EDA.
 
 <span style="color: #ADD8E6;">_References:_</span>
 - [<span style="color: #55AAFF;">Exploratory data analysis</span>](https://www.kaggle.com/code/imoore/intro-to-exploratory-data-analysis-eda-in-python)