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machine learning matlab code In the tutorial, students will solve the problem of finding the closest meet-up location on a map by creating an algorithm. The design goal of the code are as follows: Succinct: Code is extremely terse. matlab machine-learning logistic-regression regularized. Online Store - 8925533488 /89. As a result, the core of the algorithms can be easily spot. 100% activated. Learn more about using MATLAB for machine learning: https://bit. Skills: Artificial Intelligence, Machine Learning (ML), Matlab and Mathematica. For more information on machine learning, click a link below. Python code is more compact and easier to read than Matlab code —- Unlike Matlab, which uses end statement to indicate the end of a block, Python determines block size based on indentation. I wrote the following Extreme Learning Machine ELM is the new dominate training tool for trainig a single hidden layer feed-forward neural network. My data file is an . Deep learning was developed overnight. Minimizing the number of line of code is one of the primal target. dat contain the inputs x and outputs y respectively for a binary classification problem, with one training example per row. For more options, you can use the command-line interface. Table of . This repository contains MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics behind them being explained. This notes written for two kinds of readers. xlsx file containing a timeline in one coloumn (various sampling timestamps, i. He implemented all the code of my Masters and Doctoral thesis in MATLAB. Knowledge of MATLAB is crucial in today’s industry, so I would suggest that you go for it! Learn to Code with MATLAB is an online, interactive tutorial that teaches students in primary and secondary schools the basics of programming using MATLAB. Probably a mistag on the OP's part. 3 What You Will Learn Get an overview of Machine Learning Machine learning models and techniques available in MATLAB MATLAB as an interactive environment –Evaluate and choose the best algorithm You can complete the entire workflow in MATLAB. The codes in this repository might have been modified from my original submission for the CSL341 Introduction to Machine Learning at IIT Delhi. Browse publications by this author Machine learning algorithms are often used in enterprise systems. You can integrate the generated code into your projects as source code, static libraries, or dynamic libraries. Java-family/C-family. & Click here to see more codes for Raspberry Pi 3 and similar Family. The following Matlab project contains the source code and Matlab examples used for machine learning with matlab. It offers one of the best courses regarding the matlab machine learning projects. MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. Download file PDF. of machine learning Matlab programs. Machine Learning Apps: Evaluate models on held-out test data and fit fully connected neural nets in Classification Learner and Regression Learner A Prime Case Study for Making MATLAB Code Go Faster 9 Posted by Loren Shure , March 16, 2021 Today I'd like to welcome a guest blogger, Mike Croucher, who recently joined MathWorks as a Customer Success Engineer after a long career spent supporting academic computational research. But we had to svm matlab code example shows how well on, such a MATLAB provides toolboxes for a lot of different functions that you might want to use for finding solutions using ML/ General AI. Nan stands for 'not a number'. In this video tutorial, after reviewing the theoretical foundations of Principal Component Analysis (PCA), this method is implemented step-by-step in Python and MATLAB. I hope you find this information helpful. I read the "A Practical Guide to Support Vector Classication" article and I saw some examples. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. However, it's banned to use this code as homework or any other works that you should finish by yourself. It is a widely applicable tool that will benefit you no matter what industry you're in, and it will also open up a ton of career opportunities once you get good. numbers that represents seconds), and in the other coloumn DIG: A Turnkey Library for Diving into Graph Deep Learning Research. When you click the Execute button, or type Ctrl+E, MATLAB executes it immediately and the result returned is: ans = 1. Hyderabad - 8925533482 /83. MATLAB ® Coder™ generates readable and portable C and C++ code from Statistics and Machine Learning Toolbox™ functions that support code generation. MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN. You will also learn to train a Neural Network in MATLAB on Iris data-set available on UCI Machine Learning repository. matlab x. Use of Semicolon (;) in MATLAB His research interests include deep learning, machine learning, computer vision, and pattern recognition. The data set is simple and easy to understand and also There are many readers who do not have strong background in machine learning and deep learning. Oftentimes, data has missing or incorrect values. Using custom MATLAB machine learning algorithm functions; Training the model using Classification learner app. Do u need a copy of source code of machine learning projects using matlab ? As a result of conducting the training and also seminar programs, students thinking power is rises. Statistics and Machine Learning Toolbox: Train Regression Models in Regression Learner App. - Hyperparameter optimization, so you can find the best set of parameters for a machine learning algorithm. Accelerate verification and validation of your high-fidelity simulations using machine learning models through MATLAB function blocks and native blocks in Simulink. Thanks for the comment though! – rayryeng Aug 28 '15 The code in costFunction. Click on the file tab. 938,547 likes · 5,272 talking about this. m file that users might launch from Octave console or from MatLab. Watch a quick demonstration of how to use MATLAB®, a simple webcam, and a deep neural network to identify objects in your surroundings. Guarantee. mat files in your directory. Looking for a well-written MATLAB code (for logistic regression and random forest separately) for a machine learning (classification) task MATLAB Codes. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there. Keep up to date with the soon to be released book This example shows how to use the Simulink® Support Package for Arduino® Hardware to identify punch and flex hand gestures using a machine learning algorithm. See more: matlab code video detection tracking, matlab code dynamic panel data model, matlab code video classification, statistics, r programming language, linear programming, machine learning, matlab, nutrition, code video stitching matlab, matlab code video I'm using MATLAB to predict a trend. After training multiple models, compare their validation errors side-by-side, and I'm using MATLAB to predict a trend. In this context, it's equated with a technique in machine learning so I've removed the tag as it isn't suitable. See Code Generation for Prediction of Machine Learning Model Using MATLAB Coder App for details. At the end of this course, you'll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation This example shows how to generate code for the prediction of classification and regression model objects at the command line. This site provides freely downloadable Matlab code, data files, and example scripts for incremental SVM classification, including exact leave-one-out (LOO) cross-validation. To integrate the best trained model into a production system, you can deploy Statistics and Machine Learning Toolbox machine learning models using MATLAB Compiler™. Thanks, Ben! Get the MATLAB code All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. For many models, you can generate C-code for prediction using MATLAB Coder™. Click on the New Script option. The workflow-based user interface steps you through the code generation process. MATLAB Production Server enables rapid deployment of MATLAB code in Production environment and it may be a good choice for nearline or online uses where concurrent A/B testing is performed, because you avoid dual implementation and enable rapid system update based on the test result. See Code Generation for Prediction of Machine Learning Model Using MATLAB Coder App for details. dat and q1y. vectorization and matrix factorization). I decided to prepare and discuss about machine learning algorithms in a different series which is valuable and can be unique throughout the internet. One of those algorithms is the K-means clustering, which is the basic idea of this article and its implementation with the MATLAB source code. In Matlab, if you have good command in code, you can apply profound learning strategies to your work whether you’re structuring algorithms, getting ready and marking information, or creating code and sending to inserted frameworks. ===== Visit our website http://www. Using MATLAB Compiler with add-on builder products, you can integrate your MATLAB models directly into applications written in Java, and . With tools and functions for handling big data, as well as apps to make machine learning accessible, MATLAB is an ideal environment for applying machine learning to your data analytics. The MATLAB Coder app generates C or C++ code from MATLAB code. For Python/Jupyter version of this repository please check homemade-machine-learning project. Feel free to ask doubts in the comment section. Good luck setting up your own deep learning system with MATLAB! PS. Regression Functions To get Matlab beginners up to speed with relevant portions of Matlab that will be needed for this course. * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK and SuperLU libraries * Useful for machine learning, pattern recognition, signal processing Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine Learning (ML) & Data Mining Projects for £20 - £250. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. Machine Learning with MATLAB--classification Stanley Liang, PhD York University Classification the definition •In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub‐ populations) a new observation belongs, on the basis of a training set of data Machine Learning is making the computer learn from studying data and statistics. % You should set J to the cost. deep learning is the technology that led its wave of intelligence. Discovering the machine learning capabilities in MATLAB for classification, regression, clustering, and deep learning, including apps for automated model training and code generation Taking a tour of the most popular machine learning algorithms to choose the right one for our needs Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. i have a machine learning project on transmission sytem need to work with matlab and i can provide the training data and test data . Deep Learning in MATLAB What Is Deep Learning? Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. Choose between various algorithms to train and validate regression models. But you need to buy the deep learning toolbox in Matlab. This book provides a series of examples of technologies critical to machine learning. My idea was, if it is feasible, to use a machine learning tools that will extract all the explanatory information of the risk premium and use it to make the best forecast for the next 3 months (either positive or negative). I claim that there is a rare resource which is SIMPLE and COMPLETE in machine learning. Find helpful customer reviews and review ratings for MATLAB Machine Learning at Amazon. Awesome Open Source. Apps can generate MATLAB code, enabling you to automate tasks. Important characteristics of this version: - It extended for usage for both classification and regression. ** Update: The webinar recording is available at: http://www. if you have a training set of 132*152 of samples, firstly you have to divide it into two data sets the training and testing sets, generally the training set took 80% and 20% for testing, please follow these steps: 1-you must makes sure that each instances of your data is putted in raws and the parameters in columns 2-devide you set into two sets for example : the training set is an 100*152 You can complete the entire workflow in MATLAB. e. 4860e+04 MATLAB provides some special expressions for some mathematical symbols, like pi for π, Inf for ∞, i (and j) for √-1 etc. Deep learning is so popular that you can find material about it virtually anywhere. - Embedded systems, including best practices for preparing your machine learning models to run on embedded devices. function [y1, …,yN] = myfun (x1, …,xM) declares a function named function_name that accepts inputs x1, …,xM and returns outputs y1, …,yN. This example shows how to forecast time series data using a long short-term memory (LSTM) network. Master Machine Learning at your own pace. com. Problem-based MATLAB examples have been given in simple and easy way to make your learning fast and effective. However, they want have an idea about deep learning. Machine Learning is a program that analyses data and learns to predict the outcome. Chennai - 8925533480 /81. For many models, you can generate C-code for prediction using MATLAB Coder™. By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. Machine Learning Onramp. I have been reading the book Pattern Recognition and Machine Learning for a while, and recently I came across this figure, which was created using Bernoulli mixture model on the MNIST dataset: I figured it would be fun to code this, so I basically followed their algorithm: Suppose you have N images of handwritten digits from 2 to 4. Ng explained in the 1st video of the Octave tutorial, he has tried teaching Machine Learning in a variety of languages, and found that students come up to speed faster with Matlab/Octave. Download Matlab Machine Learning Gradient Descent - 22 KB; What is Machine Learning. . Machine Learning is a step into the direction of artificial intelligence (AI). Ask Question Asked 7 years, 4 months ago. Share. I think the SciPy stack for machine learning and data analysis can be used for one-off projects (like papers), and frameworks like scikit-learn are mature enough to be used in production systems. This demo uses AlexNe All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. I With vectorization, learning takes about 5 lines in MATLAB: for iteration = 1 : 5000 %in practice: until stopping %criterion satisfied This example shows how to generate C/C++ code for the prediction of classification and regression model objects by using the MATLAB® Coder™ app. Matlab code for pothole detection using Image Machine learning is the science of getting computers to act without being explicitly programmed. Machine Learning in MatLab/Octave. My data file is an . However, this post has nothing to do with batch processing or anything batch related in terms of files or data. Classification is a very interesting area of machine learning (ML). Here I walkthrough steps for doing both the methods. Over one million people around the world speak MATLAB®. com Subscribe for more free Yo retrieval based machine learning course instructors would constitute a new learner, or classification decision of course. To integrate the best trained model into a production system, you can deploy Statistics and Machine Learning Toolbox machine learning models using MATLAB Compiler™. Over one million people around the world speak MATLAB®. My dataset is kdd99. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. Problem 1: Logistic Regression The files q1x. Efficient: Many tricks for making Matlab scripts fast were applied (eg. Use a coder configurer created by learnerCoderConfigurer for predict and update object functions of a machine learning model. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. A new box will appear wherein you will get a syntax given as. To facilitate graph deep learning research, we introduce DIG: Dive into Graphs, a research-oriented library that integrates unified and extensible implementations of common graph deep learning algorithms for several advanced tasks. xlsx file containing a timeline in one coloumn (various sampling timestamps, i. Yes, the objective of this machine learning project is to CARTOONIFY the images. Better explanations. To use the model with new data, or to learn about programmatic classification, you can export the model to the workspace or generate MATLAB ® code to recreate the trained model. With the Classification Learner app , you can quickly build machine learning models and compare different machine learning algorithms without writing code. To start, run test_2d. I So we just have to iterate: w ←w −2 X i (wTx i −y i)x i, where is a small learning rate, without which we will overshoot the minimum. For many models, you can generate C-code for prediction using MATLAB Coder™. It is the mostly used unsupervised learning algorithm in the field of Machine Learning. Matlab or Python for machine learning: You can generate MATLAB code to work with scripts and other function options. Learn the common classification algorithms. To forecast the values of future time steps of a sequence, you can train a sequence-to-sequence regression LSTM network, where the responses are the training sequences with values shifted by one time step. Each machine learning algorithm folder described above contains demo. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. This example shows how to generate code for the prediction of classification and regression model objects at the command line. View the MATLAB code and data sets here. About the Presenter: Richard Willey is a product marketing manager at MathWorks where he focuses on MATLAB and add-on products for data analysis, Statistics, and Curve Fitting. The toolbox that the code uses provides a In MATLAB you can train a model using two different methods. It Use saveLearnerForCoder, loadLearnerForCoder, and codegen (MATLAB Coder) for an object function of a machine learning model. Kmean and Tree Clustering are introduced in this video. Statistics and Machine Learning Toolbox™ Note: When you use Regression Learner in MATLAB Online™ , you can train models in parallel using a Cloud Center cluster (requires Parallel Computing Toolbox™). Code Review Stack Exchange is a question and answer site for peer programmer code reviews. the basic learning rules of ELM is presented In these codes. The codes are MATLAB code. Engineers and scientists use it to express their ideas in every field from aerospace and MATLAB. Awesome Open Source. See Code Generation for Prediction of Machine Learning Model Using MATLAB Coder App for details. —- Python uses square brackets for indexing and parentheses for functions and methods, whereas Matlab uses parentheses for both, making Matlab more Learn MATLAB for free with MATLAB Onramp and access interactive self-paced online courses and tutorials on Deep Learning, Machine Learning and more. You can also generate code using the MATLAB® Coder™ app. As Prof. Machine learning techniques using MATLAB is one of my favorite topics. University of Redlands; Download file PDF. See Code Generation for Prediction of Machine Learning Model at Command Line for details. function [J, grad] = costFunction (theta, X, y) % Initialize some useful values m = length (y); % number of training examples % Compute the cost of a particular choice of theta. 77 likes. numbers that represents seconds), and in the other coloumn Browse The Most Popular 857 Matlab Open Source Projects. Implementing a system that uses machine learning is an engineering challenge like any other. & Click here to see more codes for Arduino Mega (ATMega 2560) and similar Family. Each example solves a real-world problem. MATLAB was developed for engineers and scientists and makes AI easy and accessible. You can complete the entire workflow in MATLAB. function [y1, …,yN] = function_name (x1, …,xM) end. Engineers and scientists use it to express their ideas in every field from aerospace and Reinforcement Learning Designer: Design, train, and simulate agents using a visual interactive workflow; Statistics and Machine Learning Toolbox. Thus, you will build a python application that will transform an image into its cartoon using machine learning libraries. With more powerful deep learning networks that take hours or days to train, you can see why we recommend using a good GPU for substantial deep learning work. Machine Learning. MATLAB’s Deep Learning Toolbox helped us solve the problem quickly without having to worry about the intricacies of the coding language, allowing us to focus on solving the problem rather than looping MATLAB is designed to give developers fluency in MATLAB programming language. The demo scripts will output some useful information to the console and visualize the results of work of related algorithm. For more details, see MATLAB Coder (MATLAB Coder) and Generate C Code by Using the MATLAB Coder App (MATLAB Coder). To teach practical "tips and tricks" to help with debugging, testing, etc. Information such as data trends, patterns, and outliers can help us decide which machine learning techniques to apply. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Combined Topics. Machine learning uses data and produces a program to –Local install of Spark to run code in MATLAB Installed on same machine as MATLAB –single node, Linux Machine learning with matlab. 23 Mar 2021 • divelab/DIG • . m are two Matlab functions for initializing and training a recurrent neural network using Williams and Zipser's Real-Time Recurrent Learning algorithm. Before getting the topic’s hold, let’s have a quick look at what Clustering is, its significance, and how it can be implemented in real life. When performance matters, you can generate standalone C code from your MATLAB code to create deployable models with high-performance prediction speed and small memory footprint. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. You can also generate code using the MATLAB® Coder™ app. I trained a machine learning model on MatLab Desktop and the App Classification Learner. MATLAB makes machine learning easy. It offers one of the best courses regarding the matlab machine learning projects. The above Matlab code is being modified to be in an object-oriented form using Matlab 5. m and *. Functions for finding, removing, and cleaning data enable you to get your data ready for analysis. In the recent past, he taught many machine learning related courses at the undergraduate and graduate levels. NET models can also be deployed as Excel add-ins and standalone executables. The previous section shows a minimalist example, using the centralconcepts of GPML. m and rtrl. Machine Learning From Concept To Code with Python, Julia, Matlab. Matlab Code for Real-Time Recurrent Learning rtrlinit. Make sure to have all *. A first to market practical guide for using MATLAB to write machine learning software Numerous worked examples spanning the field of machine learning and big data Comes with complete working MATLAB source code This book is a comprehensive guide to machine learning with worked examples in MATLAB. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their software grasp the results. I am new to Matlab. 2. Is there any sample code for classifying some data (with 41 features) with a SVM and then visualize the result? I want to classify a data set (which has five classes) using the SVM method. If you're interested to learn and implement powerful machine learning techniques, using MATLAB, then go for this Learning Path. Browse other questions tagged machine-learning matlab or ask your own Machine Learning with MATLAB Machine learning teaches computers to do what comes naturally to humans and animals: learn from experience. Learn the basics of MATLAB and understand how to use different machine learning algorithms using MATLAB, with emphasis on the MATLAB toolbox called statistic and machine learning toolbox. See full list on github. Advertising Code Quality 📦 28 Machine learning is the science of getting computers to act without being explicitly programmed. Machine learning is embedded into all sorts of different products, and it's used in many industries, like finance, online advertising, medicine, and robotics. April 2020; Project: Decision-Driven and Ethical Machine Learning; Authors: Roy Jafari. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Skills: Matlab and Mathematica, Machine Learning (ML), Algorithm, Electrical Engineering, Mathematics Prototyping Machine learning algorithms in MATLAB is hassle-free and the computation time involved is quite low even without the usage of GPUs. com Our Matlab students are able to tackle and also solve the errors on their Matlab code. Regularized logistic regression code in matlab. machine-learning matlab andrew-ng-course Updated Jan 11, 2018 Get started with MATLAB for machine learning. Deploy statistics and machine learning models to embedded systems and generate readable C or C++ code for your entire machine learning algorithm, including pre and post processing steps. Harness the power of MATLAB to resolve a wide range of machine learning challenges. Through this course, you will get a basic understanding of Machine Learning and Neural Networks. Online Store - 8925533488 /89. This example shows how to generate code for the prediction of classification and regression model objects at the command line. Source Code: Image Cartoonifier Project. To integrate the best trained model into a production system, you can deploy Statistics and Machine Learning Toolbox machine learning models using MATLAB Compiler™. You can also generate code using the MATLAB® Coder™ app. Machine Learning is the most evolving branch of Artificial Intelligence. I would encourage to try both the approaches and train the model using different algorithms and parameters. You will prepare your data, train a predictive model, evaluate and improve your model, and understand how to get the most out of your models. Prior to joining MathWorks in 2007, Richard worked at Wind River Systems and Symantec. Now download and install matlab 2015b 32 bit with crack and license file as well. MATLAB. In this blog, we are applying a Deep Learning (DL) based technique for detecting COVID-19 on Chest Radiographs using MATLAB. Engineers and scientists use it to express their ideas in every field from aerospace and MATLAB. Contents of the codes will be: Linear regression(batch, stochastic, and maximum likelihood) @aschipfl - Good suggestion. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. 3d) A More Detailed Overview. MATLAB lets you build machine learning and deep learning models with minimal code. Machine learning (ML Machine Learning using MATLAB. The book reviews commercially available packages for machine learning and shows how they fit into the field. m at the Matlab prompt. ly/3cj8GMc Learning I The gradient is ∂E ∂w = 2 P i (w Tx i −y i)x i. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. m to return the cost and gradient. eeprogrammer. & Click here to see more codes for NodeMCU ESP8266 and similar Family. The following steps describe a brief workflow of the MATLAB Coder App. MATLAB remained my number one choice for implementing ideas and converting my code to meaningful software’s. This free, two-hour tutorial provides an interactive introduction to practical machine learning methods for classification problems. Using MATLAB, engineers and other domain experts have deployed thousands of applications for predictive maintenance, sensor analytics, finance, and communication electronics. 4) Examples of matlab's code is Click here to see solutions for all Machine Learning Coursera Assignments. For these types of readers, section 2 will work as a the introduction of this article and will help them to understand the implementation part. Deploy machine learning models anywhere including C/C++ code, CUDA ® code, enterprise IT systems, or the cloud. You can also generate code at the command line using codegen (MATLAB Coder). This is a github sourse for some basic Machine Learning algorithms. 938,468 likes · 4,541 talking about this. You can download and study this code freely. Machine learning is the science of getting computers to act without being explicitly programmed. Download free MATLAB Deep Learning in PDF. 938,514 likes · 4,597 talking about this. The […] f = [mu+2*sqrt(s2); flipdim(mu-2*sqrt(s2),1)]; fill([xs; flipdim(xs,1)], f, [7 7 7]/8) hold on; plot(xs, mu); plot(x, y, '+') which produces a plot like this. Read not a Graphics in Matlab. Iris Flowers Classification Project This contains the MATLAB code for the programming assignments in Andrew Ng's online machine learning course. Now I want to upload the trained model to the ThingSpeak Cloud, so that I can make predictions with new data in the cloud. Over one million people around the world speak MATLAB®. Multiclass machine learning course in matlab code for matlab function input arguments about the references. This notes hoping that readers can study this subject without the kind of difficulty. Tip To get started, in the Classifier list, try All Quick-To-Train to train a selection of models. During my research career I explore the use of MATLAB in implementing machine learning techniques such as bioinformatics, text summarization, text categorization, email filtering, malware analysis, recommender systems and medical decision making. m or test_diabetes. need the complete solution of the project along with critical terminologies. e. machine learning matlab code