Preface
1
Introduction to Machine Learning
2
Extending Python Using NumPy
3
Manipulating Tabular Data Using Pandas
4
Data Visualization Using matplotlib
5
Getting Started with Scikit‐learn for Machine Learning
6
Supervised Learning—Linear Regression
7
Supervised Learning—Classification Using Logistic Regression
8
Supervised Learning—Classification Using Support Vector Machines
9
Supervised Learning—Classification Using K‐Nearest Neighbors (KNN)
10
Unsupervised Learning—Clustering Using K‐Means
11
Using Azure Machine Learning Studio
12
Deploying Machine Learning Models
13
Index