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Machine Learning Tutorial Python - 10 Support Vector Machine (SVM)
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Support vector machine (SVM) is a popular classification algorithm. This tutorial covers some theory first and then goes over python coding to solve iris flower classification problem using svm and sklearn library. We also cover different parameters such as gamma, regularization and how to fine tune svm classifier using these parameters. Basically the way support vector machine works is it draws a hyper plane in n dimension space such that it maximizes the margin between classification groups.
#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #SupportVectorMachine #SVM #sklearntutorials #scikitlearntutorials
Exercise: Open above notebook from github and go to the end.
Topics that are covered in this Video:
0:00 Introduction
0:20 Theory (Explain support vector machine using sklearn iris dataset flower classification problem)
3:11 What is Gamma?
4:21 What is Regularization?
5:27 Kernel
6:32 Coding (Start)
21:41 Exercise (Classify hand written digits dataset from sklearn using SVM)
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#MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #SupportVectorMachine #SVM #sklearntutorials #scikitlearntutorials
Exercise: Open above notebook from github and go to the end.
Topics that are covered in this Video:
0:00 Introduction
0:20 Theory (Explain support vector machine using sklearn iris dataset flower classification problem)
3:11 What is Gamma?
4:21 What is Regularization?
5:27 Kernel
6:32 Coding (Start)
21:41 Exercise (Classify hand written digits dataset from sklearn using SVM)
Next Video:
Populor Playlist:
Tools and Libraries:
Scikit learn tutorials
Sklearn tutorials
Machine learning with scikit learn tutorials
Machine learning with sklearn tutorials
#️⃣ Social Media #️⃣
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