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CST413 KTU S7 CSE Machine Learning Introduction Parameter Estimation MLE MAP Module 1.pptx
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CST413 KTU S7 CSE Machine Learning Supervised Learning Classification Algorithms Naive Bayes Decision Trees Logistic Regression Module 2.pptx
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CST413 KTU S7 CSE Machine Learning Neural Networks and Support Vector Machines Module 3.pptx
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CST413 KTU S7 CSE Machine Learning Clustering K Means Hierarchical Agglomerative clustering Principal Component Analysis Expectation Maximization Module 4.pptx
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CST413 KTU S7 CSE Machine Learning Classification Assessment Confusion matrix Precision Recall Accuracy F1 score ROC AUC Bagging Boosting Stacking Ensemble methods Bias Variance Decomposition Module 5.pptx
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Data Structures Module 3 Binary Trees Binary Search Trees Tree Traversals AVL Trees B Trees Hash Tables.pptx
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Introduction to Natural Language Processing - Stages in NLP Pipeline, Challenges in NLP, Ambiguities in NLP, Language Models, Tools, Frameworks and Datasets
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