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Coursera Ml Py ⭐ 1,032

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Speech_signal_processing_and_classification ⭐ 203

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of th

Classifiertoolbox ⭐ 75

A MATLAB toolbox for classifier: Version 1.0.7

Random Fourier Features ⭐ 66

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

R Stats Machine Learning ⭐ 25

Misc Statistics and Machine Learning codes in R

Machine_learing_algo_python ⭐ 21

implement the machine learning algorithms by python for studying

Opencv Python Training ⭐ 10

OpenCV-Python Tutorials

Coursera Ml ⭐ 7

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

Machine Learning ⭐ 7

Andrew Ng's Machine Learning Course

Clarusway_machine_learning_course ⭐ 6

This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.

Telecom Churn Prediction ⭐ 5

Telecom Churn Prediction using Machine Learning models

1-9 of 9 search results

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