Python机器学习经典实例-(影印版)

Preface
1. Vectors, Matrices, and Arrays
1.0 Introduction
1.1 Creating a Vector
1.2 Creating a Matrix
1.3 Creating a Sparse Matrix
1.4 Selecting Elements
1.5 Describing a Matrix
1.6 Applying Operations to Elements
1.7 Finding the Maximum and Minimum Values
1.8 Calculating the Average, Variance, and Standard Deviation
1.9 Reshaping Arrays
1.10 Transposing a Vector or Matrix
1.11 Flattening a Matrix
1.12 Finding the Rank of a Matrix
1.13 Calculating the Determinant
1.14 Getting the Diagonal of a Matrix
1.15 Calculating the Trace of a Matrix
1.16 Finding Eigenvalues and Eigenvectors
1.17 Calculating Dot Products
1.18 Adding and Subtracting Matrices
1.19 Multiplying Matrices
1.20 Inverting a Matrix
1.21 Generating Random Values
2. Loading Data
2.0 Introduction
2.1 Loading a Sample Dataset
2.2 Creating a Simulated Dataset
2.3 Loading a CSV File
2.4 Loading an Excel File
2.5 Loading a ]SON File
2.6 Querying a SQL Database
3. Data Wrangling
3.0 Introduction
3.1 Creating a Data Frame
3.2 Describing the Data
3.3 Navigating DataFrames
3.4 Selecting Rows Based on Conditionals
3.5 Replacing Values
3.6 Renaming Columns
3.7 Finding the Minimum, Maximum, Sum, Average, and Count
3.8 Finding Unique Values
3.9 Handling Missing Values
3.10 Deleting a Column
3.11 Deleting a Row
3.12 Dropping Duplicate Rows
3.13 Grouping Rows by Values
3.14 Grouping Rows by Time
3.15 Looping Over a Column
3.16 Applying a Function Over All Elements in a Column