kfold-cross-validation
There are 165 repositories under kfold-cross-validation topic.
brainhack-school2020/abide-fmri
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
vikrantarora25/Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
LorranSutter/PredictStock-SVM
ML model for stock trend prediction using Python
sourcecode369/ml-algorithms-on-scikit-and-keras
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
Ashutosh27ind/PGDDS-Capstone-Project
Credit Card Fraud Detection Project
satishgunjal/House-Price-Prediction-Project
Contains all my data science projects.
yu9824/kennard_stone
This is an algorithm for evenly partitioning.
rudrajit1729/Machine-Learning-Codes-And-Templates
Codes and templates for ML algorithms created, modified and optimized in Python and R.
wanderly0501/Architectural-Picture-Classification
Classify pictures by architectural style and recognize objects with CNNs and YOLO
ogunlao/foundations_of_ml
Machine Learning algorithms built from scratch for AMMI Machine Learning course
ozlemkorpe/Machine-Learning-with-MATLAB
Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
alicevillar/titanic-kaggle
Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%
AryaKoureshi/EEG-Signal-Classification-using-CSP-Features
This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.
imanirajian/Machine-Learning
Machine learning: Practical applications
alicevillar/student_admission_prediction
Predicting students admission with Logistic Regression, Decision Tree, SVM (SVC) and Random Forest
arasgungore/multiclass-classification-using-ensemble-learning
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
prakHr/NeuralNetworksAndFuzzyLogic
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
nathanntg/lin-train
Linear Regression Feature Selection and Trainer
RoxyDiya/BABY-SIGN-LANGUAGE-RECOGNITION
A Baby Sign Live Recognition Model
saadhaxxan/Optimizing-Hyperparameters-Using-Grid-Search
Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning
tanvirtin/mnist-ann
An Artificial Neural Network with weight decay created using python using the Numpy library which can read handwritten digits. Uses K-Folds cross validation for training the Neural Network.
efsiatras/breast-cancer-classification-evaluation
Breast cancer classification and evaluation of classifiers
Elbig-exe/Machine-Learning-Project
Artificial intelligence model that detects intrusions in a network by analyzing TCP / IP packets by machine learning algorithms
J4NN0/machine-learning-pca-svm
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Lakshay-a/Alzheimer-diagnosis-using-CNN
An advanced deep learning tool for Alzheimer's disease diagnosis using a CNN with transfer learning from DenseNet-121 pre-trained on RadImageNet, achieving a test accuracy of 95.13%. It features a user-friendly interface for uploading MRI scans and provides immediate classification into AD, MCI, or CN stages.
LiadzZ/Anime-Machine-Learning-Recommendation-System
Collaborative filtering, word Embedding dense vector representation - NeuralNetwork regression model and K-Fold Evaluation.
mrzaizai2k/COVID-19-Cough-Classification-phase-1-
This project was made for classifying Covid and non-covid patients through cough sound. This is a non-invasive, inexpensive, and easy method so we can use that as the first filter
shubhi126/Predicting-who-wins-2008-Democratic-Primaries-Elections--Clinton-vs.-Obama
Imagine you are the front runner for democratic party primaries in 2008 - 1 week into elections you have won a few states(Obama) and your opponent (Hillary) is catching up. How you can use analytics to predict which of the remaining seats will you win using demographic data from states you won and lost. Can we accurately classify win or lose for the remaining seats using data. Can we use this prediction to find out factors which impact our chances of winning and improve our appeal to places that are predicted loss thus improving our chances of winning? Well , Let's find out!
StarlangSoftware/Sampling-Py
Data sampling library
cedoula/Austin_Driver_Score_Predictor
Used Python Scikit-Learn to analyze Austin car crash data from 2018 to 2020 and created an interactive dashboard using a Random Forest Classifier algorithm to calculate a driver score from user features.
MahalavanyaSriram/Natural-Language-Processing-with-Disaster-Tweets
Kaggle Competition - Natural Language Processing with Disaster Tweets
shahpranshu27/HandsOn_ML
This is GEM repo, as it has all the Hands-On ML notebooks
ugurcanerdogan/Cross-Validation-with-Imbalanced-Dataset
BBM467*SDSP - Small Data Science Project - Things to consider in cross validation and resampling when dealing with Imbalanced Data : What is the right way?
ugurcanerdogan/KNN-Classification-Regression
BBM409 Machine Learning Laboratory - Assignment 1 : KNN Classification and KNN Regression using k-Fold cross validation (OOP design for classifiers)