Implementation of decision tree from scratch
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Updated
Feb 12, 2018 - MATLAB
Implementation of decision tree from scratch
My exercise for Coursera Machine Learning Course.
A repository for courses done on Coursera.
Bernoulli Naive Bayes algorithm
my submissions for machine learning course by Stanford University on Coursera.com site by instructor Andrew Ng
Online Course in Machine Learning for beginners : it contains my solutions to the programming assignment
Coursera Andrew Ng's Machine Learning course Assigements
Machine Learning Course of Coursera
Machine Learning (Coursera)
Octave prototype to train and implement Linear Regression algorithm along with some important insights.
An implementation of k-nearest neighbours, Euclidean and naive Bayes classifiers in Matlab/Octave.
Combine two Classifiers which are trained on different features...
Machine Learning course that covers the most effective ML techniques, the theoretical underpinnings of learning, the practical knowledge needed to quickly and powerfully apply these techniques to new problems, and best practices in innovation as it pertains to machine learning and AI.
This repository contains my solutions to the programming assignments in the Machine Learning course. The solutions are all implemented in MATLAB
Face Recognition using Support Vector Machine(SVM) on ORL Dataset
Computer vision tool for automated detection of arctic birds from time-lapse camera images
Implementation of various supervised and unsupervised machine learning algorithms in MATLAB using C/C++
Implement a Minimum Risk Bayes Decision Theoretic classifier and use it to classify the test examples in the provided datasets of Iris flowers.
Eestech challenge 2017
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