COURSE AUTHOR –
1. Get a solid understanding of Support Vector Machines (SVM)
2. Understand the business scenarios where Support Vector Machines (SVM) is applicable
3. Tune a machine learning model’s hyperparameters and evaluate its performance.
4. Use Support Vector Machines (SVM) to make predictions
5. Implementation of SVM models in Python
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