Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

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…

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

A MATLAB toolbox for classifier: Version 1.0.7

Multi-sample Unified Discriminant ANalysis

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

implement the machine learning algorithms by python for studying

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

In depth machine learning resources

Information Retrieval in High Dimensional Data (class deliverables)

Final Year project based upon Network Intrusion Detection System

Dimension Reduction with LDA

Image Classification with Perceptron and LDA and PCA dimension reduction

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

Application of Deep Learning and Feature Extraction in Software Defect Prediction

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

Liveness Tests For Facial Recognition

A Comprehensive Software for Data Mining and Multivariate Analysis