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Related lectures (32)
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Graphical Basics: MATLAB and Octave for Beginners
Covers the basics of creating 2D graphs using MATLAB and Octave.
Introduction to R Programming for Genetics & Genomics
Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.
Introduction to MATLAB and GNU Octave
Introduces MATLAB and GNU Octave, covering basic concepts, workspace, data types, matrices, installation, and practical usage.
Factorial design II
Explores the visualization and selection of effects in a 2N Full Factorial Design using the Normal plot method.
Introduction to NumPy and Matplotlib for Scientific Computing
Introduces NumPy and Matplotlib, essential tools for scientific computing and data visualization in Python.
Clustering Methods
Covers K-means, hierarchical, and DBSCAN clustering methods with practical examples.
Finite Element Outputs
Covers the visualization and post-processing of finite element outputs in Abaqus/CAE 6.14-1, including stress extrapolation, averaging, and 3D field visualization.
Statistical Analysis: Boxplot and Normal Distribution
Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.
Data Preparation for Machine Learning: Categorical and Numerical Data
Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.
Model Selection in Statistics
Explores model selection in statistics, discussing principles, probabilistic models, characteristics evaluation, and data visualization methods.
