k-fold-cross-validation
There are 139 repositories under k-fold-cross-validation topic.
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.
sraashis/retinal-fundus-transfer
An example of easytorch implementation on retinal vessel segmentation.
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.
zahrasalarian/Artificial-Intelligence-in-Medicine-Projects
Several small AI projects, including basic machine learning algorithms, perceptron neural networks, convolutional neural networks, and semantic segmentation.
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.
triantafd/Fuzzy_Systems_Classification_Regression
Fuzzy Systems Assignments (Classification and Regression) - TSK
AndreasScharnetzki/MachineLearningFundamentals
A notebook about commonly used machine learning algorithms.
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.
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.
sbrhss/ML-MATLAB
Machine Learning with MATLAB
tawfik-s/ML-Algo
my machine learning practices for my third year in MFCI CS department
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
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.
Davidelvis/Ad_Campaign_project
Ad campaign performance evaluation using AB Testing
JingweiToo/Machine-Learning-Regression-Toolbox
This toolbox offers 7 machine learning methods for regression problems.
KristofferLM96/TsetlinMachine-GO
Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
liliansteven/GDSC-ML-Workshop-23
This repository contains a practical application of machine learning In Machine Learning Workshop at GDSC
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.
Phantom-fs/Rock-Type-Classification
Code and supplementary materials for the research paper titled 'Advancing Geological Image Segmentation: Deep Learning Approaches for Rock Type Identification and Classification', published in Applied Computing and Geosciences (Elsevier).
RATHOD-SHUBHAM/DataMining-FiveTask
Data Mining project : Built a classifier, trained a classifier, created clusters, performed 5-fold-cross-validation.
SanghyunKim1/MLB_Team_RunsAllowed_Prediction
MLB Team Runs Allowed Prediction Project (Linear Regression)
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
Youlenda/Driver-Consciousness-Level-Analysis-Using-EEG-Signals
Driver's Consciousness Level Analysis using EEG Signals
Ansuman21/Data-Science-M2
Data Science Assignment Module 2 (K-Fold Cross Validation)
Darius2527/LifeExpectancy-Regression
This regression model involves predicting the average life expectancy of a country's population using the dataset given.
Ghazaleh99/language_ditector_KfoldCrossValidation
A simple model for distinguishing Farsi, Kurdish and Arabic languages - using 5-fold cross validation
kazi-safkat/Early-Stage-Preterm-Birth-Prediction-using-ML-and-XAI
Predicted preterm birth (PTB) in early stages of pregnancy. Identified dominant PTB risk factors using Shapley Additive Explanation (SHAP).
Purushothaman-natarajan/NLP-TEXT-PROCESSING
This project offers advanced techniques in text preprocessing, word embeddings, and text classification. Explore methods like Word2Vec and GloVe, and master Multinomial Naive Bayes for accurate predictions. Dive into the world of text clustering and conquer challenges like unbalanced data.
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.
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.
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.
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.
yafo1948/ML_Reichman_Spring2022
Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects