ashmafee-iut Goto Github PK

all-my-dataset-rahat

color-names

Provides color names and HTML/RGB mappings in various output formats.

datasets_me

dlvas_for_diabetes

dp-1-project

fake_news_train_rahat

image-captioning

ipfsbackend

learning-coding

nl4dv

A python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.

parkinson_disease_detection

In this project we have used ML algo to mke it better.

parkinsons-detection-using-machine-learning

Parkinson’s disease can be detected using speech. The phonation is the most affected in speech i.e. the sound when we pronounce the vowels. We have used the database of the speech samples containing the phonation from the affected and healthy people. Various database of the speech sample is available from JASA (Journal of Acoustic Society of America), UCI. Speech signals or the voice samples have been taken from the standard UCI voice dataset which consists of voice samples of people. The samples of healthy people are also collected for the comparative study. The Test data belongs to 56 subjects. During the collection of this dataset, 56 people are asked to say only the sustained vowels 'a' and 'o' three times respectively. Total of 336 recordings are obtained from the repository. In the training phase the pre-processing of these signals is done for feature extraction by PRAAT software. The features extracted are jitter, shimmer, NHR, HNR, mean and median pitch, number of pulses and periods, minimum and maximum period, SD, SD of period, number and degree of voice breaks. All these features differ from patient to patient depending upon the fact how much Parkinson’s disease has progressed. After extracting all the features we will do dimensionality reduction of the features using particle swarm optimization(PSO),In this optimization method it works like swarm particle and reduce the features selection to a minimum, optimization involves in achieving better result in less computation, after selection of the features, The features are used to train the SVM classifier and the model is trained.

py

Repository to store sample python programs for python learning

query_corpus

seller_portal

seller_scanner

warehouse_portal