Add beginner-friendly SVM exercise using Iris dataset#216
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riyaseema80 wants to merge 1 commit intogimseng:masterfrom
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Add beginner-friendly SVM exercise using Iris dataset#216riyaseema80 wants to merge 1 commit intogimseng:masterfrom
riyaseema80 wants to merge 1 commit intogimseng:masterfrom
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- Introduces a Support Vector Machine (SVM) exercise - Uses the Iris dataset to demonstrate classification - Includes visualization of decision boundaries - Experiments with different kernels (linear, poly, rbf, sigmoid) - Tagged for beginner-friendly and Hacktoberfest
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This PR adds a beginner-friendly exercise to demonstrate Support Vector Machines (SVM) using the Iris dataset.
What’s included:
Step 1: Introduction to SVMs and how they classify data
Step 2: Load and preprocess the Iris dataset
Step 3: Train an SVM classifier and evaluate performance
Step 4: Visualize decision boundaries for easy understanding
Step 5: Experiment with different SVM kernels (linear, poly, rbf, sigmoid)
Step 6: Summary highlighting key learning points
Why this is beginner-friendly:
Focuses on a simple, well-known dataset
Includes code examples and explanations
Provides visualization for better conceptual understanding
Encourages experimenting with different kernels
Tags:
#MachineLearning #SVM #Python #Hacktoberfest #BeginnerFriendly