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machine-learning-problems-datasets icon machine-learning-problems-datasets

We currently maintain 488 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit our About page. For information about citing data sets in publications, please read our citation policy. If you wish to donate a data set, please consult our donation policy. For any other questions, feel free to contact the Repository librarians.

machine_learning-classification icon machine_learning-classification

detect patterns and build predictive models from datasets, evaluate machine learning algorithms, compare the results. K-means and other clustering tools, Neural Networks, Decision trees and ensemble learning, Naïve Bayes Classification, Linear, logistic and nonlinear regression

machine_learning_refined icon machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

machinelearning icon machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

machinelearning-1 icon machinelearning-1

supervised and unsupervised algorithms from Andrew Ng machine learning class

machinelearningmooc icon machinelearningmooc

This repository contains the R code to complete the assignments of machine learning online course on Coursera offered by professor Andrew NG.

maching-learning-programs icon maching-learning-programs

Contains programming source sode for several Machine Learning Algorithms including Logistic and Linear regressions, Support Vector Machines, Anomaly Detection, Collaborative Filtering , Neural Nets etc. These were developed as part of Machine Learning Programming assignments

maftools icon maftools

:cancer: Summarize, Analyze and Visualize MAF files from TCGA or in house studies.

manopt icon manopt

Manopt, a Matlab toolbox for optimization on manifolds

marslandmlalgo icon marslandmlalgo

Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.

marss icon marss

Multivariate Autoregressive State-Space Modeling with R

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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