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

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DeepLearningwithTensorFlow_Code/Chapter03/Python 2.7/softmax_classifier_1.py

DeepLearningwithTensorFlow_Code/Chapter03/Python 3.5/softmax_classifier_1.py

DeepLearningwithTensorFlow_Code/Chapter08/Python 2.7/digit_classifier.py

DeepLearningwithTensorFlow_Code/Chapter08/Python 2.7/keras_movie_classifier_1.py

DeepLearningwithTensorFlow_Code/Chapter08/Python 2.7/keras_movie_classifier_using_convLayer_1.py

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12. Basics of Algorithmic Trading with Quantopian/14. Quantopian Pipeline - Masking and Classifiers.mp4

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3. Machine Learning using Python/5. Naive Bayes Classifier in Python.mp4

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20. Segment 3.2.1 K-Nearest Neighbor/7. How to change default options and customize classifiers.mp4

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26. Segment 3.2.7 Performance Evaluation/1. Evaluating Classifiers Confusion matrix (Theory).mp4

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26. Segment 3.2.7 Performance Evaluation/5. Evaluating Classifiers in MATLAB.mp4

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05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4

05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.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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03.Building Classification and Regression Models in Spark ML/0311.Demo The Decision Tree Classifier.mp4

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37.Maximal Margin Classifier.mp4

41.Definition of Maximal Margin Classifier.mp4

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55.Maximal Margin Classifier Example 2.mp4

56.Summary Maximal Margin Classifier.mp4

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2. Generative Modeling Review/2. Sampling Demo Bayes Classifier.mp4

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2. Generative Modeling Review/4. Sampling Demo Bayes Classifier with GMM.mp4

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14. Computer Vision - Face Detection/8. Face detection implementation II - CascadeClassifier.mp4

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14. Computer Vision - Face Detection/9. Face detection implementation III - CascadeClassifier parameters.mp4

14. Computer Vision - Face Detection/9. Face detection implementation III - CascadeClassifier parameters.vtt

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

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

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

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

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

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03.Loan Approval Prediction with GradientBoostingClassifier/0301.Getting and Preparing the Loan Approval Data.mp4

03.Loan Approval Prediction with GradientBoostingClassifier/0302.Creating, Training, Testing, and Using a GradientBoostingClassfier Model.mp4

03.Loan Approval Prediction with GradientBoostingClassifier/0303.Summary and What’s Next.mp4

04.Detecting Fraud in Financial Services Using Extreme GradientBoostingClassifier/0401.Getting and Preparing Financial Fraud Data.mp4

04.Detecting Fraud in Financial Services Using Extreme GradientBoostingClassifier/0402.Creating, Training, and Testing XGBoost Model.mp4

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

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Code/Chapter 14/code/perceptron_classifier.py

Code/Chapter 2/code/income_classifier.py

Code/Chapter 4/code/gmm_classifier.py

Code/Chapter 5/code/nearest_neighbors_classifier.py

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012.Natural Language Understanding (NLU)/038. Intent classifier and slot tagger (NLU).mp4

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6. Classification Models/1. Three Classifiers and the problem statement.mp4

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6. Classification Models/21. K-Nearest Neighbors classifier.mp4

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4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4

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