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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

Related Topics
machine-learning 11 cross-validation 5 machine-learning-algorithms 4 convolutional-neural-networks 4 data-science 3 classification 3 random-forest 3 decision-trees 3 pca 2 leave-one-out-cross-validation 2 python 2 logistic-regression 2 model-selection 2 numpy 2 kfold-cross-validation 2 pandas 2 feature-extraction 2 sklearn 2 data-visualization 2 data-analysis 2 confusion-matrix 2 deep-learning 2 supervised-learning 2 keras-neural-networks 2 stratified-sampling 2 student-project 2 xgboost-classifier 2 smote-sampling 2 oversampling 2 cnn-keras 2 preprocessing 2 smote 2 fine-tuning 2 ann 2 k-fold-cross-validation 2 quantile-transformer 1 random-over-sampling 1 random-under-sampling 1 seaborn 1 support-vector-machines 1 bootstrap 1 matplotlib-pyplot 1 matplotlib 1 creditcard 1 credit-card 1 artificial-intelligence 1 simpleimputer 1 linear-regression 1 joblib 1 digit-recognition 1 data-augmentation 1 classification-model 1 z-score 1 rstudio 1 r 1 mcc 1 knn 1 histogram-matching 1 histogram 1 outlier-detection 1 keras-tensorflow 1 ipynb 1 grid-search-hyperparameters 1 grid-search 1 artificial-neural-networks 1 medical-image-processing 1 medical-image-analysis 1 image-classification 1 nlp 1 fake-news 1 explainable-ai 1 weights 1 unbalanced-data 1 regularization 1 knn-classification 1 hyperparameter-tuning 1 fbeta-score 1 data-cleaning 1 corelation-of-features 1 bias-variance-tradeoff 1 bayesian-optimization 1 baseline 1 auc 1 tomek-link-elimination 1 url-detection 1 loocv 1 hold-out-cross-validation 1 neural-networks 1 mri-images 1 zindi 1 wisdmlabs 1 tensorflow2 1 python3 1 human-activity-recognition 1 dataset 1 cnn-classification 1 xgboost-model 1 tabnet 1 stacking-ensemble 1 stacking-classifier 1