Global Certificate in Machine Learning with SVM
-- ViewingNowThe Global Certificate in Machine Learning with SVM course is a comprehensive program that equips learners with essential skills in machine learning. This course is crucial in today's data-driven world, where businesses rely heavily on data analysis to make informed decisions.
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โข Introduction to Machine Learning – Overview of machine learning, types of machine learning, and applications
โข Support Vector Machines (SVMs) – Theory and intuition behind SVMs, linear SVMs, and kernel SVMs
โข SVM Implementations – Programming SVMs in Python using Scikit-learn and other libraries
โข Feature Engineering – Data preprocessing, feature scaling, and creating polynomial and interaction features
โข Kernel Methods – Understanding and applying various kernel functions in SVMs
โข Optimizing SVMs – Selecting the right kernel, regularization parameter, and handling imbalanced datasets
โข Multiclass SVMs – Extension of binary SVMs to handle multiclass problems
โข SVM Applications – Real-world use cases of SVMs in text classification, image recognition, and bioinformatics
โข Evaluation Metrics – Accuracy, precision, recall, F1 score, ROC curves, and AUC for SVM model assessment
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