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Update T2.md
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rancidghoul authored Aug 28, 2024
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@@ -318,8 +318,8 @@ The Iris dataset is a classic dataset in machine learning, consisting of 150 sam
Explanation:
• Split the dataset into training and testing sets using an 80-20 split. Use train_test_split from scikit-learn.

<span style="color: #ADD8E6;">_Bonus Task :_</span>
- <span style="color: #FF6363;">Question 5.1 : </span> Principal Component Analysis (PCA)
<span style="color: #ADD8E6;">_Bonus Task :_</span>
- <span style="color: #FF6363;">Question 5.1 : </span> Principal Component Analysis (PCA)
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.

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