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Predictive Modeling and Machine Learning with MATLAB
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.
These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization.
By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. 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.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jun 26 (43 weeks ago) |
| Cost | $49 |
| From | MathWorks via Coursera |
| Instructors | Maria Gavilan-Alfonso, Michael Reardon, Isaac Bruss, Brandon Armstrong, Brian Buechel, Nikola Trica, Matt Rich, Heather Gorr, Erin Byrne, Sam Jones, Adam Filion |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming |
| Tags | Data Science Data Analysis Machine Learning |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jun 26 (43 weeks ago) |
| Cost | $49 |
| From | MathWorks via Coursera |
| Instructors | Maria Gavilan-Alfonso, Michael Reardon, Isaac Bruss, Brandon Armstrong, Brian Buechel, Nikola Trica, Matt Rich, Heather Gorr, Erin Byrne, Sam Jones, Adam Filion |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Programming |
| Tags | Data Science Data Analysis Machine Learning |
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