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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assignments/assignment2/q1_classifier.py

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

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3. Module-3 Classification/5. 3.5 Implementation of Naive-Bayes Classifier.mp4

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

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05. K-Nearest Neighbor Classifier/2. K-nearest neighbor introduction - lazy learning.mp4

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05. K-Nearest Neighbor Classifier/3. K-nearest neighbor introduction - Euclidean-distance.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

03 Naive Bayes and Bayes Classifiers/011 Naive Bayes Handwritten Example.mp4

03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4

03 Naive Bayes and Bayes Classifiers/013 Non-Naive Bayes.mp4

03 Naive Bayes and Bayes Classifiers/014 Bayes Classifier in Code with MNIST.mp4

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

08 Introduction to Deep Learning [Optional]/060 Classifier Patterns with Keras.mp4

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

4. Classifier and Python Package/2. Random Forest Classification.mp4

4. Classifier and Python Package/3. K Mean Clustering.mp4

4. Classifier and Python Package/4. Apriori Python Package.mp4

4. Classifier and Python Package/5. Apriori Python Package Continues.mp4

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

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27 Animal App Using iOS 12 New CoreML Models/314 Intro to App AnimalClassifier-en.srt

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27 Animal App Using iOS 12 New CoreML Models/315 02-animal-classifier-create-ml-demo-283111533.zip

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1.Setting Up Caffe2/05.Running an Image Classifier Using Caffe2.mp4

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10. Apache Mahout/23. Naïve Bayes Classifier from Code.mp4

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10. Apache Mahout/5. Example- CBayes Classifier.mp4

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4. Random Forest/3. Random Forest Classifier.mp4

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04 Machine Learning with Python/004 Activity Implementing a Spam Classifier with Naive Bayes.mp4

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Pattern Recognition: Introduction, Features, Classifiers and Principles.epub

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002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4

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003.Module 3 Evaluation/021. Classifier Decision Functions.mp4

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003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4

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04 Machine Learning with Python/027 [Activity] Implementing a Spam Classifier with Naive Bayes-subtitle-en.srt

04 Machine Learning with Python/027 [Activity] Implementing a Spam Classifier with Naive Bayes.mp4

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12 Basics of Algorithmic Trading with Quantopian/104 Quantopian Pipeline - Masking and Classifiers.mp4

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04 Machine Learning with Python/026 Activity Implementing a Spam Classifier with Naive Bayes.mp4

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