Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
higher-dimensional spaces) that separates the classes with as wide a margin as possible. 2. Predict: The trained SVM model is then used to predict the class labels of the test data. It does this by determining on which side of the hyperplane each data point falls. 3. Evaluate: The model’s