Topic: kfold-cross-validation Goto Github
Some thing interesting about kfold-cross-validation
Some thing interesting about kfold-cross-validation
kfold-cross-validation,Predicting students admission with Logistic Regression, Decision Tree, SVM (SVC) and Random Forest
User: alicevillar
kfold-cross-validation,Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%
User: alicevillar
kfold-cross-validation,Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
User: arasgungore
kfold-cross-validation,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.
User: aryakoureshi
kfold-cross-validation,Credit Card Fraud Detection Project
User: ashutosh27ind
kfold-cross-validation,Classified and clustered bank clients with respect to their user profile and decided if they should get credit. KNN & KMeans algorithms, K-Fold developed in C without libraries.
User: berksudan
kfold-cross-validation,Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Organization: brainhack-school2020
kfold-cross-validation,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.
User: cedoula
Home Page: https://cedric-lutonda-driver-score.herokuapp.com/
kfold-cross-validation,Classification of articles from the newspaper "Le Monde" on R
User: charlesvitry
kfold-cross-validation,Collection of RNN GAN SNN CNN in Tensorflow
User: cloud2010
kfold-cross-validation,Progetto di Intelligenza artificiale sugli alberi di decisione con valori mancanti.
User: edoardore
kfold-cross-validation,Breast cancer classification and evaluation of classifiers using k-fold cross-validation
User: efsiatras
kfold-cross-validation,Artificial intelligence model that detects intrusions in a network by analyzing TCP / IP packets by machine learning algorithms
User: elbig-exe
kfold-cross-validation,Prediction of stock market time series
User: hectoramirez
kfold-cross-validation,Machine learning: Practical applications
User: imanirajian
kfold-cross-validation,PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
User: j4nn0
kfold-cross-validation,Used survey data with personality traits to predict cannabis consumption.
User: jorgerodpen
kfold-cross-validation,
User: kumar11jr
kfold-cross-validation,
User: laxmichaudhary
kfold-cross-validation,Collaborative filtering, word Embedding dense vector representation - NeuralNetwork regression model and K-Fold Evaluation.
User: liadzz
kfold-cross-validation,δΏι©εζ¬Ίθ―ι’ζ΅
User: liangzihao8301
kfold-cross-validation,ML model for stock trend prediction using Python
User: lorransutter
kfold-cross-validation,Predicted the survival of the Titanic passengers using Machine Learning Algorithms (Kaggle Challenge)
User: lovpatel93
Home Page: https://www.kaggle.com/c/titanic
kfold-cross-validation,Kaggle Competition - Natural Language Processing with Disaster Tweets
User: mahalavanyasriram
kfold-cross-validation,A Python script that implements Machine Learning Algorithm to predict if a female is affected by Breast Cancer after considering a certain set of features. The credit of the Dataset goes to UCI Repository of ML.
User: malayanil
kfold-cross-validation,1. train_test_split 2.K_fold 3.LeaveoneOut 4.Cross Validation Score 5.Logistic Regression
User: moindalvs
kfold-cross-validation,Linear Regression Feature Selection and Trainer
User: nathanntg
kfold-cross-validation,Linear Regression Feature Selection and Trainer
User: nathanntg
kfold-cross-validation,Machine Learning algorithms built from scratch for AMMI Machine Learning course
User: ogunlao
kfold-cross-validation,Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
User: ozlemkorpe
kfold-cross-validation,[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
User: prakhr
kfold-cross-validation,A Baby Sign Live Recognition Model
User: roxydiya
kfold-cross-validation,Codes and templates for ML algorithms created, modified and optimized in Python and R.
User: rudrajit1729
kfold-cross-validation,Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning
User: saadhaxxan
kfold-cross-validation,WiDS Datathon 2020 on patient health through data from MITβs GOSSIS (Global Open Source Severity of Illness Score) initiative.
User: saminens
kfold-cross-validation,Contains all my data science projects.
User: satishgunjal
kfold-cross-validation,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!
User: shubhi126
kfold-cross-validation,Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
User: sourcecode369
Home Page: https://github.com/sourcecode369/ml-algorithms-on-scikit-and-keras
kfold-cross-validation,Data sampling library
Organization: starlangsoftware
kfold-cross-validation,Data sampling library
Organization: starlangsoftware
kfold-cross-validation,Data sampling library
Organization: starlangsoftware
kfold-cross-validation,Comparing Logistic regression, Support vector machine, Decision tree, Random forest and Gradient Boosting models for binary classification ML problem using scikit-learn.
User: sudhan-bhattarai
kfold-cross-validation,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.
User: tanvirtin
kfold-cross-validation,BBM467*SDSP - Small Data Science Project - Things to consider in cross validation and resampling when dealing with Imbalanced Data : What is the right way?
User: ugurcanerdogan
kfold-cross-validation,BBM409 Machine Learning Laboratory - Assignment 1 : KNN Classification and KNN Regression using k-Fold cross validation (OOP design for classifiers)
User: ugurcanerdogan
kfold-cross-validation,GroupSplit is a module to help split datasets into train and test sets for data science and machine learning projects.
User: v0xp0p
kfold-cross-validation,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.
User: vikrantarora25
kfold-cross-validation,Classify pictures by architectural style and recognize objects with CNNs and YOLO
User: wanderly0501
kfold-cross-validation,This is an algorithm for evenly partitioning.
User: yu9824
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