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An extensive machine learning library, made from scratch (Python).

Word2vec ⭐ 81

word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch

Machine Learning With Scikit Learn Python 3.x ⭐ 27

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This

Svm From Scratch ⭐ 24

An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.

Ml Algorithms ⭐ 21

Fully functional implementations of the most popularly used machine learning algorithms, in Python.

Collection of Machine Learning Algorithms

Classifying Sports Texts With Naive Bayes ⭐ 9

Classifying Sports Texts with Naive Bayes

Numerical Optimization Machine Learning ⭐ 9

Codes for popular numerical optimization methods and machine learning algorithms

Svm Spam Classifier Javascript ⭐ 8

🍃 Spam Classifier with Data Preparation and Support Vector Machine (SVM)

Sparsesvm ⭐ 5

Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization

R package for the GenSVM classifier

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