MARC details
| 000 -LEADER |
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| fixed length control field |
05317cam a2200385Ii 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119545675 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1119545676 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119545699 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1119545692 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119557500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
111955750X |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
CUS |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Lee, Wei-Meng, |
| 245 10 - TITLE STATEMENT |
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| Title |
Python machine learning / |
| Statement of responsibility, etc. |
Wei-Meng Lee. |
| 260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Indianapolis, IN : |
| Name of publisher, distributor, etc. |
Wiley, |
| Date of publication, distribution, etc. |
2019. |
| 300 ## - DESCRIPTION |
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| Extent |
1 online resource |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Cover; Title Page; Copyright; About the Author; About the Technical Editor; Credits; Acknowledgments; Contents at a glance; Contents; Introduction; Chapter 1 Introduction to Machine Learning; What Is Machine Learning?; What Problems Will Machine Learning Be Solving in This Book?; Classification; Regression; Clustering; Types of Machine Learning Algorithms; Supervised Learning; Unsupervised Learning; Getting the Tools; Obtaining Anaconda; Installing Anaconda; Running Jupyter Notebook for Mac; Running Jupyter Notebook for Windows; Creating a New Notebook; Naming the Notebook |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Adding and Removing CellsRunning a Cell; Restarting the Kernel; Exporting Your Notebook; Getting Help; Summary; Chapter 2 Extending Python Using NumPy; What Is NumPy?; Creating NumPy Arrays; Array Indexing; Boolean Indexing; Slicing Arrays; NumPy Slice Is a Reference; Reshaping Arrays; Array Math; Dot Product; Matrix; Cumulative Sum; NumPy Sorting; Array Assignment; Copying by Reference; Copying by View (Shallow Copy); Copying by Value (Deep Copy); Summary; Chapter 3 Manipulating Tabular Data Using Pandas; What Is Pandas?; Pandas Series; Creating a Series Using a Specified Index |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Accessing Elements in a SeriesSpecifying a Datetime Range as the Index of a Series; Date Ranges; Pandas DataFrame; Creating a DataFrame; Specifying the Index in a DataFrame; Generating Descriptive Statistics on the DataFrame; Extracting from DataFrames; Selecting the First and Last Five Rows; Selecting a Specific Column in a DataFrame; Slicing Based on Row Number; Slicing Based on Row and Column Numbers; Slicing Based on Labels; Selecting a Single Cell in a DataFrame; Selecting Based on Cell Value; Transforming DataFrames; Checking to See If a Result Is a DataFrame or Series |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Sorting Data in a DataFrameSorting by Index; Sorting by Value; Applying Functions to a DataFrame; Adding and Removing Rows and Columns in a DataFrame; Adding a Column; Removing Rows; Removing Columns; Generating a Crosstab; Summary; Chapter 4 Data Visualization Using matplotlib; What Is matplotlib?; Plotting Line Charts; Adding Title and Labels; Styling; Plotting Multiple Lines in the Same Chart; Adding a Legend; Plotting Bar Charts; Adding Another Bar to the Chart; Changing the Tick Marks; Plotting Pie Charts; Exploding the Slices; Displaying Custom Colors; Rotating the Pie Chart |
| 505 8# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Displaying a LegendSaving the Chart; Plotting Scatter Plots; Combining Plots; Subplots; Plotting Using Seaborn; Displaying Categorical Plots; Displaying Lmplots; Displaying Swarmplots; Summary; Chapter 5 Getting Started with Scikit-learn for Machine Learning; Introduction to Scikit-learn; Getting Datasets; Using the Scikit-learn Dataset; Using the Kaggle Dataset; Using the UCI (University of California, Irvine) Machine Learning Repository; Generating Your Own Dataset; Linearly Distributed Dataset; Clustered Dataset; Clustered Dataset Distributed in Circular Fashion |
| 650 #0 - SUBJECT |
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| Keyword |
Machine learning. |
| 650 #0 - SUBJECT |
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| Keyword |
Python (Computer program language) |
| 650 #7 - SUBJECT |
|---|
| Keyword |
COMPUTERS |
| 650 #7 - SUBJECT |
|---|
| Keyword |
Machine learning. |
| 650 #7 - SUBJECT |
|---|
| Keyword |
Python (Computer program language) |
| 856 40 - ONLINE RESOURCES |
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| url |
https://doi.org/10.1002/9781119557500 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Books |
