Python Artificial Intelligence Projects for Beginners

Description

Contents......Page 3 Preface......Page 4 1 Build Prediction Models......Page 7 Classification overview and evaluation techniques......Page 8 Evaluation......Page 9 Decision trees......Page 12 Common APIs for scikit-learn classifiers......Page 16 Prediction involving decision trees and student performance data......Page 17 Summary......Page 25 Random forests......Page 26 Predicting bird species with random forests......Page 28 Making a confusion matrix for the data......Page 37 Summary......Page 47 3 Comment Classification......Page 48 Text classification......Page 49 Machine learning techniques......Page 50 Bag of words......Page 51 Detecting YouTube comment spam......Page 53 Word2Vec models......Page 65 Doc2Vec......Page 67 Document vector......Page 68 Detecting positive or negative sentiments in user reviews......Page 69 Summary......Page 78 Understanding neural networks......Page 79 Feed-forward neural networks......Page 82 Identifying the genre of a song with neural networks......Page 86 Revising the spam detector to use neural networks......Page 97 Summary......Page 105 5 Deep Learning......Page 106 Convolutions and pooling......Page 107 Identifying handwritten mathematical symbols with CNNs......Page 115 Revisiting the bird species identifier to use images......Page 133 Summary......Page 144 Index......Page 146