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Awesome GitHub RepositoriesImage Vectorizers
Utilities that convert multi-dimensional image grids into one-dimensional vectors for distance-based algorithms.
Distinct from Image Data Preprocessing: Distinct from Image Data Preprocessing: specifically focuses on the flattening of grids into vectors for k-NN style classifiers.
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Awesome Image Vectorizers GitHub Repositories
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- jack-cherish/machine-learning
Jack-Cherish/Machine-Learning
10,333Ver en GitHubThis project is a collection of supervised and unsupervised machine learning algorithms implemented from scratch using Python. It serves as an educational resource for studying model training, parameter optimization, and the implementation of core predictive models. The library provides a variety of supervised learning tools, including linear and logistic regression, decision trees, and support vector machines. It also features unsupervised learning capabilities for discovering patterns in unlabeled datasets through clustering algorithms. Broad capability areas include ensemble learning thro
Converts binary image grids into one-dimensional vectors for compatibility with classification algorithms.
Pythonadaboostadaboost-algorithmdecision-tree
