Topic: "stratified-cross-validation"
MasashiSode/mcs_kfold
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.
Language: Python - Size: 130 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 1

SadmanSakib93/Stratified-k-fold-cross-validation-Image-classification-keras
This python program demonstrates image classification with stratified k-fold cross validation technique.
Language: Jupyter Notebook - Size: 315 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 37 - Forks: 15

SadmanSakib93/ANN-Stratified-K-Fold-Cross-Validation-Keras-Tensorflow
This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.
Language: Jupyter Notebook - Size: 998 KB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

GigasTaufan/Indonesian-Hate-Speech-Classification
Program akan melakukan klasifikasi terhadap tweet berbahasa Indonesia yang dianggap ujaran kebencian (Hate Speech) atau tidak (Non Hate Speech).
Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

MsTao-68/Debt-Churn-Data-Analysis
使用比赛方提供的脱敏数据,进行客户信贷流失预测。
Language: Jupyter Notebook - Size: 15 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

SK7here/Loan-Approval-Prediction
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.
Language: Python - Size: 27.3 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

juliorodrigues07/url_detection
Malicious URL detector built with deep exploration on feature engineering.
Language: Python - Size: 144 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

VinayBhupalam/melanoma-detection
Melanoma is a deadly disease. Image analysis tools that automate the diagnosis of melanoma will improve dermatologists' diagnostic accuracy.
Language: JavaScript - Size: 395 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Pradnya1208/Cross-Validation-techniques
This project aims to understand and implement all the cross validation techniques used in Machine Learning.
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

AvinandanBose/Credit-Card-Fraud-Detection-Machine-Learning-
Credit Card Fraud Detection using Python and Machine Learning.
Language: Jupyter Notebook - Size: 77.5 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

GuyKabiri/Face-Mask-Detection
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.
Language: Jupyter Notebook - Size: 141 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ada-k/ChurnPrediction
Zindi hackathon
Language: Jupyter Notebook - Size: 406 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Agisthemantobeat/Linear-regression-Decision-Tree-Random-Forest-Regression-on-Housing-Data.
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.
Language: Python - Size: 675 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

FilippoMB/cross-validation-tutorial
Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.
Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

StarlangSoftware/Sampling-C
Data sampling library
Language: C - Size: 30.3 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mondalsudipta/unreliable-news-detection-ML-LIME
This research processed a fake news dataset, using TF-IDF and Count Vectorizer for feature extraction and evaluating multiple ML models through stratified cross-validation. Logistic Regression with TF-IDF was selected as one of the best models and further explained using LIME for interpretability.
Language: Jupyter Notebook - Size: 55.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AnneQuinkenstein/AccidentsInBerlin
Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?
Language: HTML - Size: 79.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

juliorodrigues07/manuscript-digit-recognition
Applying Convolutional Neural Networks (CNN) for recognizing manuscript digits.
Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

BJones47/ML_NeuralNetwork
Read in a mnist file and using a neural network, predict the classifcation of 0-9 throughout the mninst dataset.
Language: Python - Size: 281 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

VinylBr/DeepLearningvsML_TBResistancePrediction
Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data
Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

novynngsh/PDF-Malware-Anomaly-Detection-with-Decision-Tree-Algorithm
Language: Jupyter Notebook - Size: 102 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rohit-keswani/Human-Activity-Recognition-Using-Accelerometer-Data
Language: Jupyter Notebook - Size: 548 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Anca-Mt/Testing-Wine-Quality
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.
Language: Python - Size: 1.09 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Costopoulos/Machine-Learning-Business-Analytics
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.
Language: R - Size: 11.8 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DariusBotusanu/MRI-Blur-Classification
Language: Jupyter Notebook - Size: 208 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

UDOM-AI-COMMUNITY/Data-Sprint-61---Meteorite-Threat-Identification-challenge
Data-Sprint-61---Meteorite-Threat-Identification-challenge using StratifiedKFolds and Manual Hyperparameter tuning of the algorithm
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

RajarshiBhadra/pyspark-model-plus
Enhancements to commonly used pyspark functions for modelling
Language: Python - Size: 76.2 KB - Last synced at: 24 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
