k-fold-cross-validation

There are 0 repository under k-fold-cross-validation topic.

easytorch
sraashis / easytorch
EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
pytorch-for-medical-images convolutional-neural-networks deep-learning-for-computer-vision getting-started-with-pytorch deep-learning-example pytorch-google-colab k-fold-cross-validation pytorch deep-learning roc-auc transfer-learning fundus-image-analysis fast-pytorch-training
Language:Python 27
sraashis / retinal-fundus-transfer
An example of easytorch implementation on retinal vessel segmentation.
vessel-segmentation easy-neural-network-experiments biomedical-image-analysis pool-image-datasets k-fold-cross-validation u-net u-net-pytorch pytorch-k-fold-cross-validation transfer-learning retinal-vessel-segmentation
Language:Python 25
Home-Credit-Default-Risk-Recognition
abhishekdbihani / Home-Credit-Default-Risk-Recognition
The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
feature-engineering feature-selection binary-classification lightgbm auc-roc-score xgboost featuretools automated-feature-engineering hyperparameter-tuning hyperparameter-optimization bayesian-optimization f1-score auc-roc-curve loan-default-prediction k-fold-cross-validation scikit-learn imbalanced-data udacity-machine-learning-nanodegree hyperopt automl
Language:Jupyter Notebook 16
zahrasalarian / Artificial-Intelligence-in-Medicine-Projects
Several small AI projects, including basic machine learning algorithms, perceptron neural networks, convolutional neural networks, and semantic segmentation.
perceptron-neural-networks convolutional-neural-networks semantic-segmentation keras-tensorflow knn k-fold-cross-validation cifar-10
Language:Jupyter Notebook 16
PetePrattis / Recommendation-System-for-Android-Java-App-that-finds-an-ideal-destination-with-the-kNN-Algorithm
This project is an Android mobile application, written in Java programming language and implements a Recommender System using the k-Nearest Neighbors Algorithm. In this way the algorithm predicts the possible ratings of the users according to scores that have already been submitted to the system.
android java machine-learning firebase algorithms metrics android-application collaborative-filtering recommendation-system recommender-system android-app firebase-realtime-database k-nearest-neighbors k-fold-cross-validation
Language:Java 6
nelsoncardenas / Coursera-IBM-Project
machine-learning decision-tree logistic-regression support-vector-machines k-nearest-neighbours k-fold-cross-validation stratified-sampling f1-score
Language:Jupyter Notebook 3
tawfik-s / ML-Algo
my machine learning practices for my third year in MFCI CS department
k-fold-cross-validation machine-learning pca random-forest svm linear-regression
Language:Python 3
weniariska / rupiah-currency-image-recognition-system
Pada project ini, akan dilakukan identifikasi nilai mata uang rupiah dengan menggabungkan metode ekstrasi ciri Local Binary Pattern dan metode klasifikasi Naïve Bayes. Serta untuk pengukuran akurasi identifikasi dilakukan dengan metode evaluasi K-Fold Cross Validation. Dataset yang digunakan berupa citra dengan rincian terdapat 120 citra yang terdiri dari 15 citra uang kertas Rp1.000, 15 citra uang kertas Rp2.000, 15 citra uang kertas Rp5.000, 15 citra uang kertas Rp10.000, 15 citra uang kertas Rp20.000, 15 citra uang kertas Rp50.000, 15 citra uang kertas Rp75.000, dan 15 citra uang kertas Rp100.000
citra-digital computer-vision data-science grayscale k-fold-cross-validation local-binary-pattern machine-learning naive-bayes python rupiah uang
Language:Python 3
Aadya178 / NOAA-Check-Reef-Bleaching
An analysis of the factors that have affected the bleaching of coral reefs across a span of 20 years in different oceans around the globe.
python machine-learning data-science environment coral-reefs coral-reef-bleaching logistic-regression k-fold-cross-validation jupyter-notebook nature
Language:Jupyter Notebook 2
AndreasScharnetzki / MachineLearningFundamentals
A notebook about commonly used machine learning algorithms.
linear-regression multivariate-regression logistic-regression classification value-prediction multi-class-classification sklearn matplotlib decision-tree-classifier hyperparameter-tuning svm-classifier k-fold-cross-validation gridsearchcv python supervised-learning unsupervised-learning machine-learning kmeans-clustering naive-bayes-classifier regularization
Language:Jupyter Notebook 2
Davidelvis / Ad_Campaign_project
Ad campaign performance evaluation using AB Testing
machine-learning-algorithms k-fold-cross-validation xgboost logistic-regression decision-tree feature-engineering hypothesis-testing
Language:Jupyter Notebook 2
farahdhaifa / kampus-merdeka-crossvalidation
this project is sentiment analysis about about Kampus Merdeka that launched at Youtube platform using Naive Bayes Classifier with TF-IDF term weighting, also get validated using K Fold Cross Validation. The score-mean result is 91.2%, pretty good for valid score.
naive-bayes-classifier naive-bayes naive-bayes-algorithm naive-bayes-classification machine-learning tf-idf sklearn colab-notebook google-colab cross-validation k-fold-cross-validation confusion-matrix
Language:Jupyter Notebook 2
FDG2801 / Pulsar-Detection-and-Classification
gmm k-fold-cross-validation linear-regression mvg svm
Language:Python 2
JingweiToo / Machine-Learning-Regression-Toolbox
This toolbox offers 7 machine learning methods for regression problems.
linear-regression decision-tree-regression machine-learning regression holdout k-fold-cross-validation leave-one-out-cross-validation lasso-regression ridge-regression neural-network support-vector-regression elastic-net
Language:Python 2
JingweiToo / Machine-Learning-Toolbox-Python
This toolbox offers 6 machine learning methods including KNN, SVM, LDA, DT, and etc., which are simpler and easy to implement.
random-forest linear-discriminant-analysis k-nearest-neighbors naive-bayes decision-tree support-vector-machines data-science data-mining confusion-matrix holdout k-fold-cross-validation leave-one-out-cross-validation classification
Language:Python 2
KristofferLM96 / TsetlinMachine-GO
Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
tsetlin-machine board-game go classification python university-project master-thesis k-fold k-fold-cross-validation convolutional-tsetlin-machine convolutional weighted-clauses university tsetlingo sgf dataset tree search tree-search monte-carlo-tree-search
Language:Python 2
liliansteven / GDSC-ML-Workshop-23
This repository contains a practical application of machine learning In Machine Learning Workshop at GDSC
machine-learning machinelearningprojects matplotlib numpy pandas seeborn data-cleaning data-preprocessing eda k-fold-cross-validation knn logistic-regression models rf-classifier svm-classifier workshop
Language:Jupyter Notebook 2
PetePrattis / k-fold-cross-validation-and-Root-Mean-Square-error
A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.
java console-application knn k-nearest-neighbours similarity-score heuristics k-fold-cross-validation rmse root-mean-square-error cosine-similarity euclidean-distance hamming-distance recommender-system student computer-science program
Language:Java 2
RATHOD-SHUBHAM / DataMining-FiveTask
Data Mining project : Built a classifier, trained a classifier, created clusters, performed 5-fold-cross-validation.
classification-accuracy atnt-data data-handler labels data-mining k-fold-cross-validation classifier training cluster-labels clustering handwritten-digit-recognition
Language:Jupyter Notebook 2
Sarthak-Mohapatra / Classification-of-GPU-Run-as-high-or-low-time-consuming-using-various-classification-Algorithms.
As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms
classification-algorithms decision-trees gpu-kernel-performance matrix xgboost-algorithms svm matrix-multiplication performance-analysis python pandas numpy scikit-learn machine-learning-algorithms matplotlib seaborn cross-validation k-fold-cross-validation svm-kernel
Language:Jupyter Notebook 2
sbrhss / ML-MATLAB
Machine Learning with MATLAB
gmm hmm isodata k-fold-cross-validation machine-learning matlab overfitting regularization svm
Language:MATLAB 2
triantafd / Fuzzy_Systems_Classification_Regression
Fuzzy Systems Assignments (Classification and Regression) - TSK
fuzzy-regression fuzzy-classification subtractive-clustering-algorithm k-fold-cross-validation grid-search grid-partitioning
Language:MATLAB 2
Youlenda / Driver-Consciousness-Level-Analysis-Using-EEG-Signals
Driver's Consciousness Level Analysis using EEG Signals
eeg-signals driver-consciousness classifiers neural-networks svm knn k-fold-cross-validation decision-trees feature-extraction matlab
2
agx01 / iris_regression
Implemented Linear Regression Algorithm from scratch to predict species in Iris data using k-fold cross validation
linear-regression iris-dataset machine-learning python k-fold-cross-validation
Language:Python 1
daodavid / classic-ML
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
linear machine-learning pca python regression softmax-regression cross-entropy entropy gradient-descent k-fold-cross-validation lasso-regression maximum-likelihood-estimation naive-bayes-classifier principle-component-analysis ridge-regression sigmoid-function baysian information-gain probability suprise
Language:HTML 1
Ghazaleh99 / language_ditector_KfoldCrossValidation
A simple model for distinguishing Farsi, Kurdish and Arabic languages - using 5-fold cross validation
character k-fold-cross-validation nlp-machine-learning python
Language:Jupyter Notebook 1
hlz-922 / banknote-counterfeit-classification
decision-tree-classifier k-fold-cross-validation model-validation supervised-learning
Language:Jupyter Notebook 1
hrshtv / HMM-POS-Tagging
POS tagging using a Hidden Markov Model (HMM) with Viterbi Decoding
hmm hmm-viterbi-algorithm viterbi-decoder pos-tagging brown-corpus k-fold-cross-validation
Language:Jupyter Notebook 1
ninditya / NLP-KNN-LSA
Latent Semantic Analysis For Question Classification With K-Nearest Neighbor (2020-2021)
machine-learning natural-language-processing k-nearest-neighbours latent-semantic-analysis classification-algorithm topic-modeling rubix-ml feature-extraction feature-selection k-fold-cross-validation confusion-matrix
Language:PHP 1
Pradnya1208 / Cross-Validation-techniques
This project aims to understand and implement all the cross validation techniques used in Machine Learning.
cross-validation k-fold-cross-validation stratified-cross-validation hold-out-cross-validation leave-one-out-cross-validation loocv monte-carlo
Language:Jupyter Notebook 1
rafsanRubaiyat / Forest-Fire-StepwiseRegression
Forest-Fire-StepwiseRegression The relationships between the ‘Probability of Forest Fire’ in Algeria and its various weather components have been estimated.
k-fold-cross-validation linear-regression sas stepwise-regression
Language:JavaScript 1
sanjushasuresh / KNN-ASSIGNMENT-13-Q1
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.
auc-roc-curve data-science k-fold-cross-validation knn-classification machine-learning python
Language:Python 1
sanjushasuresh / KNN-ASSIGNMENT-13-Q2
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.
auc-roc-curve data-science k-fold-cross-validation knn-classification machine-learning python
Language:Python 1
shubhangkhattar / Mask-Classification-Using-CNN-Artificial-Intelligence
Deep Learning Convolutional Neural Network (CNN) using PyTorch and train it to recognize five different classes: (1) Person without a face mask, (2) Person with a “community” (cloth) face mask, (3) Person with a “surgical” (procedural) mask, (4) Person with a “FFP2/N95/KN95”-type mask (you do not have to distinguish between them), and (5) Person with a FFP2/N95/KN95 mask that has a valve. You do not have to consider other mask types (e.g., FFP3), face shields, full/half-face respirators, PPEs, or images that do not show a single face (e.g., groups of people).
artificial-intelligence bias-correction bias-detection cnn convolutional-neural-networks deep-learning face-detection k-fold-cross-validation pytorch
Language:Jupyter Notebook 1
Simon-157 / AI-final-project
A comprehensive data science project for analysing eCormmerce and online shops data for possibility to enegage customer retention to increase purchases. Trained and comprehensively evaluated machine learning models using different algorithms and tuning procedures.
confusion-matrix cross-validation feature-engineering gridsearchcv hyperparameter-optimization k-fold-cross-validation knn-classification machine-learning-algorithms random-forest randomizedsearchcv roc-curve xgboost-algorithm
Language:Jupyter Notebook 1
yafo1948 / ML_Reichman_Spring2022
Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects
decision-tree-classifier em-algorithm gradient-descent k-fold-cross-validation k-means knn lagrange-multipliers linear-regression logistic-regression mean-squared-error ml mle-estimation multivariate-regression naive-bayes-classifier pac-learning polynomial-regression svm unsupervised-machine-learning
Language:Jupyter Notebook 1

k-fold-cross-validation

sraashis / easytorch

sraashis / retinal-fundus-transfer

abhishekdbihani / Home-Credit-Default-Risk-Recognition

zahrasalarian / Artificial-Intelligence-in-Medicine-Projects

PetePrattis / Recommendation-System-for-Android-Java-App-that-finds-an-ideal-destination-with-the-kNN-Algorithm

nelsoncardenas / Coursera-IBM-Project

tawfik-s / ML-Algo

weniariska / rupiah-currency-image-recognition-system

Aadya178 / NOAA-Check-Reef-Bleaching

AndreasScharnetzki / MachineLearningFundamentals

Davidelvis / Ad_Campaign_project

farahdhaifa / kampus-merdeka-crossvalidation

FDG2801 / Pulsar-Detection-and-Classification

JingweiToo / Machine-Learning-Regression-Toolbox

JingweiToo / Machine-Learning-Toolbox-Python

KristofferLM96 / TsetlinMachine-GO

liliansteven / GDSC-ML-Workshop-23

PetePrattis / k-fold-cross-validation-and-Root-Mean-Square-error

RATHOD-SHUBHAM / DataMining-FiveTask

Sarthak-Mohapatra / Classification-of-GPU-Run-as-high-or-low-time-consuming-using-various-classification-Algorithms.

sbrhss / ML-MATLAB

triantafd / Fuzzy_Systems_Classification_Regression

Youlenda / Driver-Consciousness-Level-Analysis-Using-EEG-Signals

agx01 / iris_regression

daodavid / classic-ML

Ghazaleh99 / language_ditector_KfoldCrossValidation

hlz-922 / banknote-counterfeit-classification

hrshtv / HMM-POS-Tagging

ninditya / NLP-KNN-LSA

Pradnya1208 / Cross-Validation-techniques

rafsanRubaiyat / Forest-Fire-StepwiseRegression

sanjushasuresh / KNN-ASSIGNMENT-13-Q1

sanjushasuresh / KNN-ASSIGNMENT-13-Q2

shubhangkhattar / Mask-Classification-Using-CNN-Artificial-Intelligence

Simon-157 / AI-final-project

yafo1948 / ML_Reichman_Spring2022