Python.Machine.Learning下载

Python Machine Learning 2019 Wiley Chapter 1 Introduction to Machine Learning 1 Chapter 2 Extending Python Using NumPy 19 Chapter 3 Manipulating Tabular Data Using Pandas 39 Chapter 4 Data Visualization Using matplotlib 67 Chapter 5 Getting Started with Scikit-learn for Machine Learning 93 Chapter 6 Supervised Learning—Linear Regression 119 Chapter 7 Supervised Learning—Classifcation Using Logistic Regression 151 Chapter 8 Supervised Learning—Classifcation Using Support Vector Machines 177 Chapter 9 Supervised Learning—Classifcation Using K-Nearest Neighbors (KNN) 205 Chapter 10 Unsupervised Learning—Clustering Using K-Means 221 Chapter 11 Using Azure Machine Learning Studio 243 Chapter 12 Deploying Machine Learning Models 269