Topic: k-fold Goto Github
Some thing interesting about k-fold
Some thing interesting about k-fold
k-fold,
User: abdullahalsaidi16
k-fold,Predicting leaf using the K Nearest Neighbour algorithm using the Iris dataset.
User: ahmedryanfaiyaz
k-fold,A JavaScript module for generating random seeded distributions and its statistical analysis.
User: alexeyskiselev
k-fold,Harvard Project - Accuracy improvement by adding seasonality premium pricing
User: amayumradia
Home Page: https://amay-umradia-tr3t.squarespace.com/
k-fold,Solving classification problem by XGBoost model implementation; K-folds Cross Validation application for relevant performance metrics accessing.
User: annashestova
k-fold,In this program, you’ll master valuable machine learning skills that are in demand across countless industries. Investment levels in this space continue to rise, thousands of highly-valued startups have entered the field, and demand for machine learning talent shows no signs of leveling. Program graduates emerge uniquely prepared to excel in machine learning roles.
User: ashleyadrias
k-fold,Classic Machine Learning in R
User: caffeineviking
k-fold,Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
User: cesartrevisan
k-fold,Machine Learning project. Movies Ratings prediction & prediction of White Wine Quality using classification algorithms. The main aim of the project: dive into ML/AI.
User: codevibess
k-fold,Kaggle competition (zillow housing challenge)for predicting housing price log errors.Used feature selection, feature engineering, ensemble and stacked models
User: dibya-pati
k-fold,All codes, both created and optimized for best results from the SuperDataScience Course
User: farhanchoudhary
k-fold,Códigos em Phyton utilizados na disciplina de engenharia médica, do curso de Engenharia Biomédica do Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo
User: fernandanakata
k-fold,A minimal Deep learning library for the web.
User: generic-matrix
k-fold,This repository contains analysis code from my graduate school work.
User: gonzalezben81
k-fold,Deteksi penyakit pada (daun) jagung berbasis citra dengan menggunakan metode GLRLM dan FCH.
User: ibnujakaria
k-fold,Capstone Project for Udacity Machine Learning Nanodegree
User: jeongwhanchoi
k-fold,This is the code for "Binary Classification using Keras Sequential, Functional and Model Subclassing" By M.Junaid Fiaz
User: junaidfiaz143
k-fold,Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
User: juzershakir
k-fold,Easy to apply the crossvalidation on Pytorch
User: kageshimasu
k-fold,Google colab notebook for the Kaggle Home prices submission
User: kbalu99
k-fold,Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
User: kristofferlm96
k-fold,All assignments of Statistical Machine Learning Course
User: kvatsx
k-fold,Project of Massively Parallel Machine Learning at Technical University of Madrid.
User: lidalei
k-fold,Project to produce supervised ML algorithm to predict which customers are likely to leave and produce .Rmd report
User: m-d-hale
k-fold,Python cross-validation package with k-fold, leave-one-out and leave-one-subject-out
User: matteo-serafino
k-fold,Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
User: mikhail-kukuyev
k-fold,Creates a decision tree for training and predicts the targets!
User: mohammedjasam
k-fold,In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff
User: mrkhan0747
k-fold,Applied linear regression on Boston house prices data set to predict the sale price of a house.
User: nikhilathota
k-fold,Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.
User: nikhilathota
k-fold,Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
User: ohara124c41
k-fold,A Matlab script that applies the basic sequential clustering to evaluate the number of user groups by using the hierarchical clustering and k-means algorithms. Using the k-means fold the classifiers that are a neural network and the other least squares to evaluate them.
User: peteprattis
k-fold,in this repository, there are my kaggle project on loan application prediction in python and python code on linear regression, random forest, k-means, svm, and some easy but happy code to make python coding skill more better.
User: pritam-code-ai
k-fold,SKlearn K-fold implementation example
User: prosperityai
k-fold,EDA-REGRESSION-CLASSIFICATION-WITH-BALCK-FRIDAY-DATASET
User: rahul221389
k-fold,NLP - Category prediction with logistic regression.
User: sadrasamadi
k-fold,Python, K-fold, RMSE, Pearson
User: sakshithreddychintala
k-fold,This project is about how you can deal with imbalanced data and which performance metrics' particularly important compared to usual practices with fairly balanced data.
User: shivamkc01
k-fold,Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.
User: shreyas-muralidhara
k-fold,Spark ML Dashboard built to plug-in and tweak the model params to real-time verify classification results on sample test data
User: spoddutur
k-fold,Python and sklearn, KNN, logistic and linear regression, cross-validation
User: suvasama
k-fold,Face Mask Detection
User: vishanthsurresh
k-fold, 天池 o2o优惠券使用预测
User: wang-kowah
k-fold,My implementation of homework 1 for the Introduction to Machine Learning class in NCTU (course number 1181).
User: yoyololicon
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