Machine Learning, Artificial Intelligence, Pca Analysis, Data Science, Support Vector Machine.
The use of different kernels allows SVMs to tackle various data types, including non-linear data. SVM did a great job of classification getting a 100% F1 Score, and we were able to perform classification tasks on the dataset. But it would be really difficult if it had thousands of rows, which is