Explanation of Mathematics used in Machine Learning Algorithms and some Projects
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Updated
Jul 19, 2018 - Jupyter Notebook
Explanation of Mathematics used in Machine Learning Algorithms and some Projects
Animates the SVM Decision Boundary Hyperplane on the Iris data
A C and Python implementation of latent strain analysis for eigengenome partitioning.
Clasificador de tejido sano y tejido cancerígeno en imágenes microscópicas del esófago haciendo uso del modelo hiper plano y el algoritmo de Perceptron
A Short Project done as a coursework assignment on Regression Techniques. This Project includes some data analysis and fitting some regression lines to smooth curves's noisy data sets. Also we have discussed the shortcomings and benefits of this method in this project
Content: Support Vector, Hyperplane, Hyperparameter, Non-linearly separable data, Scaling
implementaion of 1vr and 1v1 perceptron classifier with d dimesional data and image classification
Collection of algebraic methods and data structures for collision detection
Machine Learning
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