In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do.
Ce cours fait partie de la Spécialisation Practical Data Science with MATLAB
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À propos de ce cours
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Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 4 dans le
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Niveau intermédiaire
Approx. 17 heures pour terminer
Anglais
Sous-titres : Anglais
Compétences que vous acquerrez
Machine LearningMatlabPredictive Modelling
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 17 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Programme du cours : ce que vous apprendrez dans ce cours
5 heures pour terminer
Creating Regression Models
In this module you'll apply the skills gained from the first two courses in the specialization on a new dataset. You'll be introduced to the Supervised Machine Learning Workflow and learn key terms. You'll end the module by creating and evaluating regression machine learning models.
5 heures pour terminer
11 vidéos (Total 73 min), 7 lectures, 7 quiz
11 vidéos
Instructor Introduction2 min
Introduction to Supervised Machine Learning4 min
Introduction to the Taxi Data7 min
Creating and Cleaning Features8 min
Introduction to Regression8 min
Using the Regression Learner App10 min
Customizing Model Parameters9 min
Evaluating Regression Models6 min
Evaluate Your Model in MATLAB9 min
Summary of Regression1 min
7 lectures
Download and Install MATLAB15 min
Data and Code Files15 min
Supervised Machine Learning Reference10 min
Introduction to Module 15 min
Variables in the Taxi Data10 min
Summary of Regression Models15 min
Regression Metrics10 min
3 exercices pour s'entraîner
Feature Engineering Review12 min
Train a Regression Model30 min
Apply the Regression Workflow45 min
4 heures pour terminer
Creating Classification Models
In this module you'll learn the basics of classification models. You'll train several types of classification models and evaluation the results.
4 heures pour terminer
6 vidéos (Total 45 min), 6 lectures, 2 quiz
6 vidéos
Using the Classification Learner App7 min
Evaluating Classification Models11 min
Evaluating Classification Models in MATLAB5 min
Training a Multiclass Model7 min
Summary of Classification1 min
6 lectures
Introduction to Module 25 min
Summary of Classification Models15 min
Binary Classification Metrics Reference20 min
Evaluate and Customize Classification Models30 min
Multiclass Classification Metrics Reference20 min
Customizing Multiclass Models30 min
2 exercices pour s'entraîner
Train a Classification Model30 min
Apply The Classification Workflow50 min
8 heures pour terminer
Applying the Supervised Machine Learning Workflow
In this module you'll apply the complete supervised machine learning workflow. You'll use validation data inform model creation. You'll apply different feature selection techniques to reduce model complexity. You'll create ensemble models and optimize hyperparameters. At the end of the module, you'll apply these concepts to a final project.
8 heures pour terminer
9 vidéos (Total 49 min), 5 lectures, 3 quiz
9 vidéos
Using Validation Data During Training3 min
Embedded Methods for Feature Selection7 min
Using Regularization to Prevent Overfitting6 min
Introduction to Ensemble Models3 min
Training Ensemble Models3 min
Introduction to Hyperparameters5 min
Optimizing Hyperparameters8 min
Summary of Module 32 min
5 lectures
Introduction to Module 310 min
Examining Bias Variance Trade-off15 min
Practice Partitioning Data30 min
Using Wrapper Methods to Select Features40 min
Introduction to the Course Project10 min
2 exercices pour s'entraîner
Practice Reducing Model Complexity30 min
Applying Ensemble Models30 min
Avis
Meilleurs avis pour PREDICTIVE MODELING AND MACHINE LEARNING WITH MATLAB
par SS13 sept. 2020
Extremely helpful and interesting course. The basic concepts and further learnings are well addressed by the instructors.\n\nHighly recommended course for Machine Learning.
par AM6 nov. 2020
Outstanding course with real practical study case and easy to understand approach to build ML models and deploy it for production for end-user. Good job MathWorks.
par AH10 sept. 2020
Very practical, but still high-level view to manage such projects. Testing was sufficient to test a full understanding. Thanks, I learnt a lot.
par JD25 oct. 2020
Great Course and very helpful. Good to be able to put hands on real data and exercises.
À propos du Spécialisation Practical Data Science with MATLAB
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?
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