british Vector Vector

GitHub Repo https://github.com/tezzytezzy/terra-spatial-data-analysis

tezzytezzy/terra-spatial-data-analysis

Accounts in British Columbia, Canada

GitHub Repo https://github.com/TomHarte/Sam-Coupe-3d

TomHarte/Sam-Coupe-3d

An assembly vector 3d engine for the Sam Coupé, a British Z80-based microcomputer of the late 80s. Would likely be adaptable to other similar micros, such as the Spectrum and Amstrad CPC.

GitHub Repo https://github.com/preranas20/Emotion-Detection-in-Speech

preranas20/Emotion-Detection-in-Speech

Predicting emotions based on speech audio samples of American English, German and British English languages using Support Vector Machine, K-Nearest Neighbor, Random Forest and Recurrent Neural Network. Analyzing the performance of each model based on the dataset.

GitHub Repo https://github.com/sifatsum/Iris-Flower-Dataset--Support-Vector-Machines-Project

sifatsum/Iris-Flower-Dataset--Support-Vector-Machines-Project

Context The Iris flower data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems. It is sometimes called Anderson's Iris data set because Edgar Anderson collected the data to quantify the morphologic variation of Iris flowers of three related species. The data set consists of 50 samples from each of three species of Iris (Iris Setosa, Iris virginica, and Iris versicolor). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. This dataset became a typical test case for many statistical classification techniques in machine learning such as support vector machines

GitHub Repo https://github.com/VecEd/Archive

VecEd/Archive

Archive for Vector the Journal of the British APL Association

GitHub Repo https://github.com/Mktming/textmining

Mktming/textmining

This report primary using Support Vector Machine / Naive Bayes, Latent Semantic Analysis and Emotional Valence Analysis study on British Airways/ Virgin Atlantic Airways tweets in the UK.

GitHub Repo https://github.com/vignesh2191/A-data-mining-approach-on-the-analysis-of-road-safety-in-Great-Britain

vignesh2191/A-data-mining-approach-on-the-analysis-of-road-safety-in-Great-Britain

RTA data collected are huge, multi-dimensional and heterogeneous. Moreover, the data may be incomplete and contain erroneous values, which makes the data analysis a daunting task. The target data for this study was collected by the Department for Transport, GB. Several data mining techniques such as handling an imbalanced dataset, factor reduction and prediction algorithms such as Naïve Bayes, Decision Tree, Random Forest, Logistic Regression, Support Vector Machines (SVM) were carried out to perform an effective data analysis that could potentially support the transport department in devising better precautional measures to minimize the road accident occurrences in Great Britain. Moreover, the idea of chaining two different algorithms was attempted by identifying the significant attributes through Random Forest technique and feeding them as input to other ML algorithms. In addition, the key factors that influence these road collisions were identified and presented.

GitHub Repo https://github.com/mikeraymond7/Fast-IAPWS