Support Vector Machine, Machine Learning, Data Science, Deep Learning.
kernel). You can use cross-validation to find the best values for these hyperparameters. Scale your features: SVM models are sensitive to the scale of the features. Make sure to scale your features to the same range before training an SVM model. Remove outliers and noise: Outliers and noise in the