# MATLAB for Machine Learning
This is the code repository for [MATLAB for Machine Learning](https://www.packtpub.com/big-data-and-business-intelligence/matlab-machine-learning?utm_source=github&utm_medium=repository&utm_campaign=9781788398435), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the book from start to finish.
## About the Book
MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners.
You’ll start by getting your system ready with t he MATLAB environment for machine learning and you’ll see how to easily interact with the Matlab workspace. We’ll then move on to data cleansing, mining and analyzing various data types in machine learning and you’ll see how to display data values on a plot. Next, you’ll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You’ll also explore classification techniques such as K-nearest neighbor analysis and Naive Bayes algorithm, and understand decision tree and rules learners.
After this, you’ll dive into unsupervised learning and find groups of data with clustering methods such as k-means method and dendrogram. You’ll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you’ll explore feature selection and extraction techniques for dimensionality reduction for performance improvement.
At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB.
##Instructions and Navigation
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
```
PC1 = 0.8852* Area + 0.3958 * Perimeter + 0.0043 * Compactness +
0.1286 * LengthK + 0.1110 * WidthK - 0.1195 * AsymCoef + 0.1290 *
LengthKG
```
Any command-line input or output is written as follows:
```
>>10+90
ans =
100
```
In this book, machine learning algorithms are implemented in the MATLAB environment. So, to reproduce the many examples in this book, you need a new version of MATLAB (R2017a recommended) and the following toolboxes: statistics and machine learning toolbox, neural network toolbox, and fuzzy logic toolbox.
## Related Products
* [Visual Media Processing Using MATLAB Beginner's Guide](https://www.packtpub.com/hardware-and-creative/visual-media-processing-using-matlab-beginners-guide?utm_source=github&utm_medium=repository&utm_campaign=9781849697200)
* [MATLAB Graphics and Data Visualization Cookbook](https://www.packtpub.com/big-data-and-business-intelligence/matlab-graphics-and-data-visualization-cookbook?utm_source=github&utm_medium=repository&utm_campaign=9781849693165)
* [Rapid BeagleBoard Prototyping with MATLAB and Simulink](https://www.packtpub.com/hardware-and-creative/rapid-beagleboard-prototyping-matlab-and-simulink?utm_source=github&utm_medium=repository&utm_campaign=9781849696043)
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MATLAB-for-Machine-Learning-master.rar_machine learning
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MATLAB-for-Machine-Learning-master.rar (48个子文件)
MATLAB-for-Machine-Learning-master
Chapter07
EngineFitting.m 542B
Chapter03
LifeExpectancy.xlsx 8KB
ExploratoryStatistics.m 1KB
ExploratoryVisualization.m 2KB
EmergencyCallsNew.xlsx 8KB
GlassIdentificationDataSet.xlsx 25KB
CleaningData.m 991B
CleaningData.xlsx 11KB
EmergencyCalls.xlsx 8KB
Chapter08
seeds_dataset.csv 9KB
yacht_hydrodynamics.csv 11KB
StepwiseRegression.m 2KB
PrincipalComponentAnalysis.m 882B
Chapter06
KMeansExample.m 500B
PeripheralLocations.xls 168KB
Minerals.xls 159KB
GaussianMixtureModels.m 615B
ClimaticData.xls 107KB
KMedoids Example.m 355B
HierarchicalClustering.m 408B
Chapter05
DecisionTrees.m 573B
NaiveBayes.m 751B
NearestNeighborCassifiers.m 712B
DiscriminantAnalysis.m 1KB
Chapter09
ConcreteQualityFitting.m 1KB
ThyroidDisease.m 1KB
ClusterData.dat 145KB
StudentClustering.m 1KB
Concrete_Data.xls 122KB
LICENSE 1KB
Chapter04
AirfoilSelfNoise.csv 365KB
RegressionExample.m 3KB
VehiclesItaly.xlsx 10KB
employees.xlsx 12KB
README.md 3KB
Chapter02
MyMatrix.csv 199B
matrix.csv 26B
apollo.wav 124KB
capri.xlsx 12KB
matrix.txt 26B
Exporting.m 452B
MyMatrix.xls 18KB
DataOrganization.m 1KB
MyMatrix.txt 202B
coliseum.jpg 285KB
Ferrari.txt 152B
museum.xls 32KB
Importing.m 611B
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