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API Integration

文件列表

  • 02 Regression/007 Logistic regression example III - credit scoring.mp4 53.8 MB
  • 06 Tree Based Algorithms/003 Decision trees example II - iris data.mp4 52.1 MB
  • 02 Regression/005 Logistic regression example I - sigmoid function.mp4 48.3 MB
  • 04 Naive Bayes Classifier/001 Naive Bayes introduction.mp4 45.7 MB
  • 02 Regression/003 Logistic regression introduction.mp4 44.7 MB
  • 06 Tree Based Algorithms/001 Decision trees introduction.mp4 40.1 MB
  • 03 K-Nearest Neighbor Classifier/001 kNN introduction.mp4 37.5 MB
  • 08 Neural Networks/003 Training a neural network.mp4 34.9 MB
  • 08 Neural Networks/004 Complex neural networks.mp4 34.0 MB
  • 07 Clustering/002 K-means clustering introduction.mp4 33.3 MB
  • 02 Regression/001 Linear regression introduction.mp4 31.4 MB
  • 02 Regression/002 Linear regression example.mp4 30.4 MB
  • 08 Neural Networks/007 Neural network example - XOR problem.mp4 26.2 MB
  • 05 Support Vevtor Machine SVM/001 Support vector machine introduction.mp4 25.3 MB
  • 07 Clustering/004 DBSCAN introduction.mp4 24.8 MB
  • 08 Neural Networks/005 Applications of neural networks.mp4 24.5 MB
  • 05 Support Vevtor Machine SVM/003 Support vector machine example II - image recognition.mp4 24.0 MB
  • 07 Clustering/005 Hierarchical clustering introduction.mp4 22.0 MB
  • 04 Naive Bayes Classifier/002 Naive Bayes example.mp4 21.4 MB
  • 01 Introduction/002 Introduction to machine learning.mp4 21.4 MB
  • 02 Regression/004 Cross validation.mp4 19.8 MB
  • 07 Clustering/003 K-means clustering example.mp4 18.0 MB
  • 02 Regression/006 Logistic regression example II.mp4 16.7 MB
  • 08 Neural Networks/001 Neural network introduction.mp4 16.2 MB
  • 07 Clustering/006 Hierarchical clustering example.mp4 14.3 MB
  • 06 Tree Based Algorithms/004 Pruning and bagging.mp4 14.1 MB
  • 07 Clustering/001 Principal component anlysis introduction.mp4 12.5 MB
  • 06 Tree Based Algorithms/006 Boosting.mp4 11.9 MB
  • 08 Neural Networks/002 Simple example - logical AND table.mp4 11.8 MB
  • 05 Support Vevtor Machine SVM/002 Support vector machine example I.mp4 11.2 MB
  • 08 Neural Networks/006 Deep learning.mp4 11.1 MB
  • 03 K-Nearest Neighbor Classifier/002 kNN introduction - normalize data.mp4 10.3 MB
  • 06 Tree Based Algorithms/005 Random forests introduction.mp4 10.1 MB
  • 06 Tree Based Algorithms/007 Random forests example I.mp4 9.3 MB
  • 06 Tree Based Algorithms/008 Random forests example II - enhance decision trees.mp4 9.2 MB
  • 03 K-Nearest Neighbor Classifier/003 kNN example I.mp4 9.1 MB
  • 03 K-Nearest Neighbor Classifier/004 kNN example II.mp4 7.9 MB
  • 01 Introduction/001 Introduction.mp4 6.3 MB
  • 06 Tree Based Algorithms/002 Decision trees example I.mp4 6.1 MB
  • 09 Outro/001 Final words.mp4 4.7 MB

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