Topic: stratified-cross-validation Goto Github
Some thing interesting about stratified-cross-validation
Some thing interesting about stratified-cross-validation
stratified-cross-validation,Zindi hackathon
User: ada-k
stratified-cross-validation,This is a machine learning project which implements three different types of regression techniques and formulates differences amongst them by predicting the price of a house based on Boston housing Data.
User: agisthemantobeat
stratified-cross-validation,Human Activity Recognition (HAR) has a wide range of applications due to the widespread usage of acquisition devices such as smartphones and its ability to capture human activity data.
User: aishwarya1111
stratified-cross-validation,This project consists in using machine learning to analyze the factors that affect wine quality and in building a model for predicting it. The model was tested on unseen wines to evaluate its accuracy.
User: anca-mt
stratified-cross-validation,Credit Card Fraud Detection using Python and Machine Learning.
User: avinandanbose
stratified-cross-validation,Read in a mnist file and using a neural network, predict the classifcation of 0-9 throughout the mninst dataset.
User: bjones47
stratified-cross-validation,[Modeling] Project in 2022 - Simple Model of important factors in the incidence of heart disease and prediction model
User: carrytheeast
stratified-cross-validation,Machine Learning App in R for predicting whether a newly released movie will be a hit or a flop. Practically useful for streaming services and cinemas.
User: costopoulos
stratified-cross-validation,
User: dariusbotusanu
stratified-cross-validation,Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.
User: emamulhossen
Home Page: https://github.com/EmamulHossen
stratified-cross-validation,Program akan melakukan klasifikasi terhadap tweet berbahasa Indonesia yang dianggap ujaran kebencian (Hate Speech) atau tidak (Non Hate Speech).
User: gigastaufan
stratified-cross-validation,Object detection exercise for the Neural Networks for Computer Vision course. Using stratified KFold for data with multiple labels and instances, and self-implementation of mAP with multiple configurations.
User: guykabiri
stratified-cross-validation,Applying Convolutional Neural Networks (CNN) for recognizing manuscript digits.
User: juliorodrigues07
stratified-cross-validation,Malicious URL detector built with deep exploration on feature engineering.
User: juliorodrigues07
stratified-cross-validation,mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variables in all folds. The greatest advantage of this method is that it can be applied to multi-dimensional targets.
User: masashisode
stratified-cross-validation,使用比赛方提供的脱敏数据,进行客户信贷流失预测。
User: mstao-68
stratified-cross-validation,
User: novynngsh
stratified-cross-validation,This project aims to understand and implement all the cross validation techniques used in Machine Learning.
User: pradnya1208
stratified-cross-validation,Enhancements to commonly used pyspark functions for modelling
User: rajarshibhadra
stratified-cross-validation,This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.
User: sadmansakib93
stratified-cross-validation,This python program demonstrates image classification with stratified k-fold cross validation technique.
User: sadmansakib93
stratified-cross-validation,Performed univariate and bivariate analysis to understand the features and their relationships for loan approval prediction. Achieved highest accuracy of 98% for Extreme Gradient Boosting among all tested machine learning classification models.
User: sk7here
stratified-cross-validation,Data sampling library
Organization: starlangsoftware
stratified-cross-validation,Data-Sprint-61---Meteorite-Threat-Identification-challenge using StratifiedKFolds and Manual Hyperparameter tuning of the algorithm
Organization: udom-ai-community
stratified-cross-validation,Melanoma is a deadly disease. Image analysis tools that automate the diagnosis of melanoma will improve dermatologists' diagnostic accuracy.
User: vinaybhupalam
stratified-cross-validation,Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data
User: vinylbr
stratified-cross-validation,Machine learning prediction project, 2019.
User: yeeeseul
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.