Data Processing and Feature Engineering with MATLAB
4.5
Coursera2,236 learners
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This intermediate-level course combines data from multiple sources and times to lay the foundation for predictive modeling. MATLAB is used to process and engineer features, providing a useful tool for anyone interested in data analysis.
MATLAB for Absolute Beginners w&English Subtitles
1.5
Youtube4 learners
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This course provides an introduction to MATLAB for absolute beginners. It covers topics such as installation and resources, basic syntax, basic arithmetic, functions and constants, linear algebra, for loops, while loops, if/else statements, data types, plotting data, data analysis plots, loading and saving data, subplots, 3D plots, labeling plots, sound processing, signal processing, Fourier transform, low pass filters, image processing, image manipulation exercises, convolution, Gaussian image noise reduction, Gaussian filter blur and edge detection, introduction to probability, measuring probability, generating random values, birthday paradox, continuous variables, mean and variance, Gaussian (normal) distribution, hypothesis testing, 2 sample tests, multivariate Gaussian.
Numerical Analysis With Matlab
2.5
Youtube1 learners
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This course covers numerical analysis techniques using Matlab, including iterative methods for linear systems, Jacobi, Gauss Seidel, and relaxation. It also covers Newton and Lagrange interpolating polynomials, Trapezoid and Simpson's 1/3 Rule, and Newton Coates, with Matlab implementation. Students will gain a comprehensive understanding of numerical analysis techniques and their implementation in Matlab.
MATLAB Crash Course for Beginners
5.0
freeCodeCamp7 learners
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This course provides an introduction to MATLAB for beginners. It covers topics such as the MATLAB IDE, variables and arithmetic, matrices, arrays and linear algebra, the index, equations, anonymous functions, plotting, logic, random and looping functions, and more. Participants will gain a comprehensive understanding of the fundamentals of MATLAB and be able to apply them to their own projects.
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