[DONE] CFT Extractor version to work with SurfExtractor

Shoe recognition app with flask backend.

Scale Invariant Feature Transform MATLAB code.

This repository contains codes and materials for demonstrate various computer vision applications and techniques.

Classification of phishing URLs using machine learning in Python.

Music genre classification done in two different ways: 1.Traditional ML and 2.Temporal feature integration/Fusion of decisions

Repositório dedicado ao estudo e aplicação de técnicas de Ciência de Dados.

Project 6 OPENCLASSROOMS: Automatically Classify products with Computer Vision and NLP

Extracted ComParE features using OpenSMILE tool and MFCC features from scratch from the pathological dataset 2 and performed classification using both features and compared them.

The project is mostly concerned with feature engineering. To help the model grasp the data better, created additional features based on the disaster tweets. In the included notebook, each and every step is described in depth. In the supplied data set, I also dealt with the class imbalance. Final results: F1 Score 0.7031431897555296 Precision Sco…

This respository contains code that implements various computer vision algorithms for object tracking in 2D camera images

Featurizer API server-side application for featurization (RESTful API for feature extraction via injected features extraction library)

Feature Extraction based Origami Worm Pose Estimation and Tracking

implement CNN and MLP image classifiers and improve the performance on CIFAR 10 dataset

TimeSeriesR: Time Series Machine Learning in R

Research about important factors in Italy Covid-19 vaccine coverage

This repository contains codes for the detection of epileptic seizures using machine learning classifiers on the TUH EEG dataset

R-script to extract 56 features from a given peptide sequence and handle exceptions in the input file

A business manager of a consumer credit card portfolio is facing the problem of customer attrition. They want to analyze the data to find out the reason behind this and leverage the same to predict customers who are likely to drop off.