Support Vector Machines in Python from Start to Finish

YouTube·Support Vector Machine (SVM)

Learn to implement Support Vector Machines (SVMs) in Python from start to finish in this comprehensive 45-minute webinar. Explore essential steps including importing modules and data, handling missing data, downsampling, formatting data with one-hot encoding and scaling, building a preliminary SVM, optimizing parameters using cross-validation, and constructing the final SVM. Gain practical insights into machine learning techniques and enhance your data science skills with hands-on examples and explanations.