204.6.9 Digit Recognition using SVM
Link to the previous post : https://statinfer.com/204-6-8-svm-advantages-disadvantages-applications/ In this , we will put SVM into practice by solving an image classification …
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204.6.8 SVM : Advantages Disadvantages and Applications
Link to the previous post : https://statinfer.com/204-6-7-soft-margin-classification-noisy-data/ SVM Validation SVM doesn’t give us the probability, it directly gives us the …
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204.6.7 Soft Margin Classification – Noisy Data and Validation
Link to the previous post : https://statinfer.com/204-6-6-practice-kernel-non-linear-classifier/ Soft Margin Classification – Noisy data Noisy data What if there is some …
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204.6.6 Practice : Kernel – Non Linear Classifier
Link to the previous post : https://statinfer.com/204-6-5-the-non-linear-decision-boundary/ In this session we will practice non linear kernels of SVM in python. Practice …
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204.6.5 The Non-Linear Decision Boundary
Link to the previous post : https://statinfer.com/204-6-4-building-svm-model-in-python/ The Non-Linear Decision Boundary In the above examples we can clearly see the …
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204.6.4 Building SVM model in Python
Link to the previous post : https://statinfer.com/204-6-3-svm-the-algorithm/ We discussed the SVM algorithm in our last post. In this post we will …
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