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06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/1.1 Course Resources.html

06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2. Gathering Email Data and Working with Archives & Text Editors.mp4

06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2. Gathering Email Data and Working with Archives & Text Editors.vtt

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08.Introduction to Deep Learning/0812.Classifier Patterns with Keras.mp4

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7. Credit Card Fraud Detection/12. Machine Learning Classifiers.mp4

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11. Supervised Learning/14. Voting Classifier.mp4

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003.Particle identification with machine learning/011. Uniform classifiers.mp4

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004.Search for New Physics in Rare Decays/014. Classifier Constraints.mp4

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02 Data Collection/006 AWS Glue Classifiers.html

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12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4

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11. Supervised Learning/14. Voting Classifier.mp4

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2. competitive-data-science/01_introduction-recap/03_recap-of-main-ml-algorithms/04_additional-materials-and-links_plot_classifier_comparison.html

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3. Module-3 Classification/4. 3.4 Naive-Bayes Classifier.mp4

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05. K-Nearest Neighbor Classifier/1. K-nearest neighbor introduction.mp4

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10-Training a classifier.mp4

15-Ngram classifier.mp4

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03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4

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08 Introduction to Deep Learning [Optional]/060 Classifier Patterns with Keras-en.srt

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4. Classifier and Python Package/1. Decision Tree Classifier.mp4

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Code/Chapter 14/code/perceptron_classifier.py

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04. Using Support Vector Machine and Random Forests for Complex Problems/0403.Image Classifier Using SVM.mp4

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