Python Artificial Intelligence Projects for Beginners

Preface
1
Chapter 1: Building Your Own Prediction Models
5
Classification overview and evaluation techniques
6
Evaluation
7
Decision trees
10
Common APIs for scikit-learn classifiers
14
Prediction involving decision trees and student performance data
15
Summary
23
Chapter 2: Prediction with Random Forests
24
Random forests
24
Usage of random forest
26
Predicting bird species with random forests
26
Making a confusion matrix for the data
35
Summary
45
Chapter 3: Applications for Comment Classification
46
Text classification
47
Machine learning techniques
48
Bag of words
49
Detecting YouTube comment spam
51
Word2Vec models
63
Doc2Vec
65
Document vector
66
Detecting positive or negative sentiments in user reviews
67
Summary
76
Chapter 4: Neural Networks
77
Understanding neural networks
77
Feed-forward neural networks
80
Identifying the genre of a song with neural networks
84
Revising the spam detector to use neural networks
95
Summary
103
Chapter 5: Deep Learning
104