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Produktbild: Python Machine Learning

Python Machine Learning

38,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.04.2019

Verlag

John Wiley & Sons

Seitenzahl

320

Maße (L/B/H)

24,9/19,1/0,2 cm

Gewicht

429 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-54563-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.04.2019

Verlag

John Wiley & Sons

Seitenzahl

320

Maße (L/B/H)

24,9/19,1/0,2 cm

Gewicht

429 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-54563-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Python Machine Learning
  • Introduction xxiii
     
    Chapter 1 Introduction to Machine Learning 1
     
    What Is Machine Learning? 2
     
    What Problems Will Machine Learning Be Solving in This Book? 3
     
    Classification 4
     
    Regression 4
     
    Clustering 5
     
    Types of Machine Learning Algorithms 5
     
    Supervised Learning 5
     
    Unsupervised Learning 7
     
    Getting the Tools 8
     
    Obtaining Anaconda 8
     
    Installing Anaconda 9
     
    Running Jupyter Notebook for Mac 9
     
    Running Jupyter Notebook for Windows 10
     
    Creating a New Notebook 11
     
    Naming the Notebook 12
     
    Adding and Removing Cells 13
     
    Running a Cell 14
     
    Restarting the Kernel 16
     
    Exporting Your Notebook 16
     
    Getting Help 17
     
    Chapter 2 Extending Python Using NumPy 19
     
    What Is NumPy? 19
     
    Creating NumPy Arrays 20
     
    Array Indexing 22
     
    Boolean Indexing 22
     
    Slicing Arrays 23
     
    NumPy Slice Is a Reference 25
     
    Reshaping Arrays 26
     
    Array Math 27
     
    Dot Product 29
     
    Matrix 30
     
    Cumulative Sum 31
     
    NumPy Sorting 32
     
    Array Assignment 34
     
    Copying by Reference 34
     
    Copying by View (Shallow Copy) 36
     
    Copying by Value (Deep Copy) 37
     
    Chapter 3 Manipulating Tabular Data Using Pandas 39
     
    What Is Pandas? 39
     
    Pandas Series 40
     
    Creating a Series Using a Specified Index 41
     
    Accessing Elements in a Series 41
     
    Specifying a Datetime Range as the Index of a Series 42
     
    Date Ranges 43
     
    Pandas DataFrame 45
     
    Creating a DataFrame 45
     
    Specifying the Index in a DataFrame 46
     
    Generating Descriptive Statistics on the DataFrame 47
     
    Extracting from DataFrames 49
     
    Selecting the First and Last Five Rows 49
     
    Selecting a Specific Column in a DataFrame 50
     
    Slicing Based on Row Number 50
     
    Slicing Based on Row and Column Numbers 51
     
    Slicing Based on Labels 52
     
    Selecting a Single Cell in a DataFrame 54
     
    Selecting Based on Cell Value 54
     
    Transforming DataFrames 54
     
    Checking to See If a Result Is a DataFrame or Series 55
     
    Sorting Data in a DataFrame 55
     
    Sorting by Index 55
     
    Sorting by Value 56
     
    Applying Functions to a DataFrame 57
     
    Adding and Removing Rows and Columns in a DataFrame 60
     
    Adding a Column 61
     
    Removing Rows 61
     
    Removing Columns 62
     
    Generating a Crosstab 63
     
    Chapter 4 Data Visualization Using matplotlib 67
     
    What Is matplotlib? 67
     
    Plotting Line Charts 68
     
    Adding Title and Labels 69
     
    Styling 69
     
    Plotting Multiple Lines in the Same Chart 71
     
    Adding a Legend 72
     
    Plotting Bar Charts 73
     
    Adding Another Bar to the Chart 74
     
    Changing the Tick Marks 75
     
    Plotting Pie Charts 77
     
    Exploding the Slices 78
     
    Displaying Custom Colors 79
     
    Rotating the Pie Chart 80
     
    Displaying a Legend 81
     
    Saving the Chart 82
     
    Plotting Scatter Plots 83
     
    Combining Plots 83
     
    Subplots 84
     
    Plotting Using Seaborn 85
     
    Displaying Categorical Plots 86
     
    Displaying Lmplots 88
     
    Displaying Swarmplots 90
     
    Chapter 5 Getting Started with Scikit-learn for Machine Learning 93
     
    Introduction to Scikit-learn 93
     
    Getting Datasets 94
     
    Using the Scikit-learn Dataset 94
     
    Using the Kaggle Dataset 97
     
    Using the U